Search Results for "genes"
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Showing 6 open source projects for "genes"
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1
miRDiana
MATLAB package to find the miRNAs targeting a list of genes
To select miRNA target genes we developed software in MATLAB® (MathWorks®) called miRDiana that collects the union of mouse validated targets from the TargetScan, MicroCosm, mirTarBase and miRWalk 2.0 databases. Firstly, the software downloads each database and preprocesses by standardizing the miRNA and gene names. It strips the miRNA names from the species ids and converts the gene names to the official symbols of the National Center for Biotechnology Information (NCBI) database. Next... -
2
Microarray Integrator (MAI)
Microarray Integrator for heterogeneous human/mouse Affymetrix arrays
The Microarray Integrator is freely available programs to integrate heterogeneous Affymetrix microarrays for human and mouse. The cell-type-specific genes or condition-specific genes can be screened in the integrated microarrays by MAI result. -
3
SimilarityViewer
Identify co-occuring genes in cyanobacteria
The SimilarityViewer allows the identification of genes co-occurring in subsets of 77 cyanobacterial organisms. The software is available as a MATLAB script and as stand-alone applications for Mac, Linux, and Windows computers. To install this program download the zip file appropriate for your system, unzip it, and follow the instructions in the README file. SimilarityViewer and the included data are licensed under the Apache License Version 2.0. If you use the SimilarityViewer... -
4
BiRW
Bi-random Walks for Phenome-Genome Association Prediction
The availability of ontologies and systematic documentations of phenotypes and their genetic associations has enabled large-scale network-based global analyses of the association between the complete collection of phenotypes (phenome) and genes. BiRW is a package designed for analysis and prediction of the phenome-genome associations. BiRW package contains a program for analysis of circular bigraphs (CBGs) and the bi-random walk (BiRW) algorithm to capture the CBG patterns in the networks... -
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5
gn2d
To recognize the cancer genes
To recognize the cancer genes -
6
GeneExploration
To identify the cancer-related genes
This project is designed to explore cancer-related genes from gene expression data set
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