expression_mirna

[Instructions]

Find which genes are statistically different between groups defined by mirna status.
Similar to [expression_stat] except miRNA values are used to define the groups.

If you divide samples into two groups, find the genes that are most different by t-test.
To use this method, first decide on cutoff values for samples less than a certain value for group A.

Then set a cutoff for samples higher than a certain value for group B. Samples that do not meet either cutoff will be ignored. For each gene with expression data, do a t-test and record the t-statistic.

Return the ranked list of genes sorted by abs(t-statistic).
group1 less than : lower expression cutoff (required) default 4
group2 greater than : higher expression cutff (required) default 10
num results : the number of results to return (default 25)
Plot heatmap : if checked, plot a heatmap of the returned genes.
EXPRESSION : expression source (required)
MIRNA : miRNA source (required)
META : set meta source and value to color samples on heatmap. (optional) Note: in order for the metavalue dropdown menu to show up, you must select the metasource and submit once so the menu can be populated from the source selection.

HUGO: Enter the miRNA id. TCGA uses the format hsa-xxx-xxxx : microRNA ids start with hsa eg.( hsa-mir-1200, hsa-mir-103-1-as, hsa-let-7e, hsa-let-7a-1 ). If you don't know the exact ID, enter what you can and similar ID names will be returned. (eg. mir-10a)