Perform a meta-analysis of gene expression data, integrating the results of different differential expression analysis. Subset a list of differential expression analyses based on fold changes and p-values. Find gene statistics and find and plot the most consistent co-differentially expressed genes across the comparisons.
Package details |
|
---|---|
Author | Ilario De Toma |
Bioconductor views | BiomedicalInformatics CellBiology Cheminformatics DifferentialExpression Epigenetics FunctionalGenomics GeneExpression Genetics GraphAndNetwork Microarray Network Proteomics RNASeq Sequencing SystemsBiology Transcription Transcriptomics |
Maintainer | Ilario De Toma <idetoma@imim.es> |
License | Artistic-2.0 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.