<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to RSEM-barplot</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>Recent changes to RSEM-barplot</description><atom:link href="https://sourceforge.net/p/cellx/wiki/RSEM-barplot/feed" rel="self"/><language>en</language><lastBuildDate>Sat, 29 Oct 2016 18:38:57 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/cellx/wiki/RSEM-barplot/feed" rel="self" type="application/rss+xml"/><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Sat, 29 Oct 2016 18:38:57 -0000</pubDate><guid>https://sourceforge.net953b38692b3cb747105090ab84fa00dff5aff027</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Sat, 29 Oct 2016 18:36:48 -0000</pubDate><guid>https://sourceforge.net66b13e39951c2d3dadda32d98df8b77114410723</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v15
+++ v16
@@ -6,6 +6,7 @@

 *HUGO* : enter a gene symbol to plot. (required)  eg. kras
          (optional) add a gene with -c to change the plot to a scatter plot of exp vs. cnv. eg. kras kras-c [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=kras+kras-c&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)
+         (optional) if two gene symbols, the first will be used for the barplot and the second will be used to generate scatter plots for each dataset.

 [[img src=kras_exp_cnv.png alt=cnvplot width=700px]]
 x-axis: expression level of KRAS. y-axis: log2 CNV of KRAS (red &amp;gt;=1 )
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 21 Sep 2016 19:47:02 -0000</pubDate><guid>https://sourceforge.net69d900f08956ffc8054f2a03c868ea88d5aecde8</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v14
+++ v15
@@ -14,7 +14,7 @@
 Plot the mutation load across TCGA datasets. Enter 'MUT-COUNT' as the HUGO symbol. [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=MUT-COUNT&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)

 **Plotting Meta values**
-Plot numeric meta-data values across categorical meta values.  Enter 'META-NNNN' as the HUGO symbol for the numerical meta value where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a categorical metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the categorical metavalue. 
+Plot numeric meta-data values across categorical meta values.  Enter 'META-NNNN' as the HUGO symbol for the numerical meta value where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a categorical metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the categorical metavalue. To find meta value ids, see [meta_search]

 Boxpot of meta value by categorical dataset meta value
 [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=META-15331+META-14456&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 22:39:56 -0000</pubDate><guid>https://sourceforge.netec9b302fd101d69484840255ad3e6102da5ae3e0</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v13
+++ v14
@@ -13,9 +13,11 @@

 Plot the mutation load across TCGA datasets. Enter 'MUT-COUNT' as the HUGO symbol. [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=MUT-COUNT&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)

-Plot numeric meta-data values across datasets.  Enter 'META-NNNN' as the HUGO symbol where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a dataset metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the dataset metavalue. 
+**Plotting Meta values**
+Plot numeric meta-data values across categorical meta values.  Enter 'META-NNNN' as the HUGO symbol for the numerical meta value where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a categorical metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the categorical metavalue. 

-Boxpot of meta value by categorical dataset value
+Boxpot of meta value by categorical dataset meta value
 [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=META-15331+META-14456&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)

+Boxplot of meta value by categorical subtype meta value.
 [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 22:36:27 -0000</pubDate><guid>https://sourceforge.net238777faf87424e0d6b1ee52496510fd262d275f</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v12
+++ v13
@@ -15,4 +15,7 @@

 Plot numeric meta-data values across datasets.  Enter 'META-NNNN' as the HUGO symbol where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a dataset metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the dataset metavalue. 

-[Example](http://54.149.52.246/cgi-bin/RPPA/cellxbeta.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
+Boxpot of meta value by categorical dataset value
+[Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=META-15331+META-14456&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)
+
+[Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 22:33:18 -0000</pubDate><guid>https://sourceforge.net53e015a52d5b9b0142371339797a4b4bff00477e</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v11
+++ v12
@@ -15,4 +15,4 @@

 Plot numeric meta-data values across datasets.  Enter 'META-NNNN' as the HUGO symbol where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a dataset metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the dataset metavalue. 

-[Example](http://cellx.pfizer.com/cgi-bin/RPPA/cellxbeta.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
+[Example](http://54.149.52.246/cgi-bin/RPPA/cellxbeta.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 22:19:04 -0000</pubDate><guid>https://sourceforge.netfb034aa64f31b84a4f3700fa833aadceb1741323</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v10
+++ v11
@@ -14,3 +14,5 @@
 Plot the mutation load across TCGA datasets. Enter 'MUT-COUNT' as the HUGO symbol. [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=MUT-COUNT&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)

 Plot numeric meta-data values across datasets.  Enter 'META-NNNN' as the HUGO symbol where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a dataset metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the dataset metavalue. 
+
+[Example](http://cellx.pfizer.com/cgi-bin/RPPA/cellxbeta.cgi?source=ALL_HG18&amp;amp;expstat_low=4&amp;amp;expstat_numresults=25&amp;amp;tabledump_table=cells&amp;amp;METACOLORS=green+blue&amp;amp;mean=2&amp;amp;rnai_source=NONE&amp;amp;exp_ic50_low=100&amp;amp;venn_segment=none&amp;amp;ic50low=100&amp;amp;SUBMIT=SUBMIT&amp;amp;vennexpgene5=%3e10&amp;amp;venncnvgene1=%3e1&amp;amp;mut_expression_method=t-test&amp;amp;ic50high=500&amp;amp;activehtab=1&amp;amp;kcluster=2&amp;amp;expstat_high=10&amp;amp;venncnvgene5=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;fisher_mutation_high=10&amp;amp;venncnvgene2=%3e1&amp;amp;tissues=ALL&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;venncnvgene4=%3e1&amp;amp;percentile=5&amp;amp;mirna_source=NONE&amp;amp;expmirna_numresults=25&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;expcore_datasets=10&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;compound_source=NONE&amp;amp;tsvtable=RSEM-barplot&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;combo_low=100&amp;amp;mutation_source=NONE&amp;amp;expcore_direction=both&amp;amp;expcnv_numresults=25&amp;amp;cnvamp=2&amp;amp;expcnv_minsize=10&amp;amp;vennexpgene6=%3e10&amp;amp;vennexpgene1=%3e10&amp;amp;expmirna_low=1&amp;amp;combo_high=500&amp;amp;expcnv_maxsize=10&amp;amp;combination_datatype=ALL&amp;amp;venncnvgene3=%3e1&amp;amp;combination_id=ALL&amp;amp;fisher_mutation_low=4&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene3=%3e10&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;maxsize=10&amp;amp;minsize=100&amp;amp;affy_source=NONE&amp;amp;rppa_source=NONE&amp;amp;sort=mean&amp;amp;expcore_method=correlation&amp;amp;combination_id2=NONE&amp;amp;target=EGFR&amp;amp;cnvdel=-2&amp;amp;venncnvgene7=%3e1&amp;amp;expcnv_high=1&amp;amp;cnvminsnp=10&amp;amp;exp_ic50_high=500&amp;amp;vennexpgene2=%3e10&amp;amp;cnvminbp=10000&amp;amp;expcnv_low=1&amp;amp;vennexpgene4=%3e10&amp;amp;expmut_numresults=25&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;metadata_source=NONE&amp;amp;expcore_scale=none&amp;amp;searchtype=co-occur&amp;amp;expcore_top=100&amp;amp;genes=META-19014+META-3899&amp;amp;active_Expression=1&amp;amp;compound_sourcename=ALL)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 22:18:27 -0000</pubDate><guid>https://sourceforge.net919f581878fad80ed6508d4d286113fd5dd6559c</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v9
+++ v10
@@ -11,6 +11,6 @@
 x-axis: expression level of KRAS. y-axis: log2 CNV of KRAS (red &amp;gt;=1 )

-Plot the mutation load across TCGA datasets. Enter 'MUT-COUNT' as the HUGO symbol.
+Plot the mutation load across TCGA datasets. Enter 'MUT-COUNT' as the HUGO symbol. [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=MUT-COUNT&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)

 Plot numeric meta-data values across datasets.  Enter 'META-NNNN' as the HUGO symbol where NNNN is the primary key listed in the meta-pull down menu.  Additionally, a dataset metavalue must be defined to assign the meta-values to groups to plot. The final HUGO entry will look like META-NNNN META-MMMM where MMMM is the primary key of the dataset metavalue. 
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 20:31:52 -0000</pubDate><guid>https://sourceforge.net8f6b8769db29a2cbfff7f0ebd384614b0da820f7</guid></item><item><title>RSEM-barplot modified by Keith Ching</title><link>https://sourceforge.net/p/cellx/wiki/RSEM-barplot/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v8
+++ v9
@@ -2,7 +2,7 @@
 [[img src=kras_barplot.png alt=barplot width=700px]]

-RSEM-barplot : generates a barchart of expression values for all RSEM datasets with normal samples plotted separately.  Also generates a strip chart and generates histograms for each dataset.  Alternatively, it can generate expression vs. CNV plots for all RSEM datasets.
+RSEM-barplot : generates a barchart of expression values for all RSEM datasets with normal samples plotted separately.  [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=kras&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10) Also generates a strip chart and generates histograms for each dataset.  Alternatively, it can generate expression vs. CNV plots for all RSEM datasets.

 *HUGO* : enter a gene symbol to plot. (required)  eg. kras
          (optional) add a gene with -c to change the plot to a scatter plot of exp vs. cnv. eg. kras kras-c [Example](http://54.149.52.246/cgi-bin/RPPA/cellx.cgi?expstat_high=10&amp;amp;compound_sourcename=ALL&amp;amp;kcluster=2&amp;amp;exp_ic50_low=100&amp;amp;maxsize=10&amp;amp;expmirna_numresults=25&amp;amp;combo_low=100&amp;amp;PLOTPOS=bottomright&amp;amp;vennexpgene6=%3e10&amp;amp;target=EGFR&amp;amp;ic50low=100&amp;amp;combination_id2=NONE&amp;amp;expcnv_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mutation_source=NONE&amp;amp;combination_id=ALL&amp;amp;expcore_scale=none&amp;amp;expcnv_numresults=25&amp;amp;expmirna_low=1&amp;amp;activehtab=1&amp;amp;cnvminbp=10000&amp;amp;compound_source=NONE&amp;amp;source=ALL_HG18&amp;amp;venncnvgene4=%3e1&amp;amp;minsize=100&amp;amp;combination_datatype=ALL&amp;amp;vennexpgene3=%3e10&amp;amp;SUBMIT=SUBMIT&amp;amp;expstat_direction=both&amp;amp;expcor_numresults=25&amp;amp;expmirna_high=1&amp;amp;combo_cnv_cutoff=1&amp;amp;expcore_method=correlation&amp;amp;PLOTCUTOFFAXIS=Z&amp;amp;exp_ic50_high=500&amp;amp;tsvtable=RSEM-barplot&amp;amp;rppa_source=NONE&amp;amp;METACOLORS=green+blue&amp;amp;venn_segment=none&amp;amp;sort=mean&amp;amp;fisher_mutation_low=4&amp;amp;combo_high=500&amp;amp;expcnv_low=1&amp;amp;expcore_top=100&amp;amp;expcore_datasets=10&amp;amp;fisher_mutation_high=10&amp;amp;active_Expression=1&amp;amp;venncnvgene1=%3e1&amp;amp;cnvamp=2&amp;amp;tissues=ALL&amp;amp;affy_source=NONE&amp;amp;vennexpgene1=%3e10&amp;amp;expmut_numresults=25&amp;amp;vennexpgene4=%3e10&amp;amp;venncnvgene2=%3e1&amp;amp;expcore_colors=red+blue+green+violet+orange+yellow+black&amp;amp;mut_expression_method=t-test&amp;amp;venncnvgene5=%3e1&amp;amp;searchtype=co-occur&amp;amp;venncnvgene6=%3e1&amp;amp;vennexpgene7=%3e10&amp;amp;venncnvgene7=%3e1&amp;amp;rnai_source=NONE&amp;amp;venncnvgene3=%3e1&amp;amp;expmirna_colors=red+blue+green+violet+orange+yellow+black&amp;amp;cnvdel=-2&amp;amp;tabledump_table=cells&amp;amp;mirna_source=NONE&amp;amp;metadata_source=NONE&amp;amp;vennexpgene2=%3e10&amp;amp;expcore_direction=both&amp;amp;ic50high=500&amp;amp;expcnv_minsize=10&amp;amp;expcnv_high=1&amp;amp;genes=kras+kras-c&amp;amp;vennexpgene5=%3e10&amp;amp;mean=2&amp;amp;expcnv_maxsize=10&amp;amp;expstat_low=4&amp;amp;percentile=5&amp;amp;expstat_numresults=25&amp;amp;cnvminsnp=10)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Keith Ching</dc:creator><pubDate>Wed, 02 Mar 2016 20:29:48 -0000</pubDate><guid>https://sourceforge.net4380bf2171ef02494468f0ed28002607b283ccc0</guid></item></channel></rss>