taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli
interactions provides functions for classifying gene interaction profiles into mathematically and biologically defined interaction modes and classes, extending the homogenous classes of positive and negative synergies into heterogenous classes comprised of defined interaction modes. This package currently supports transformation of RNA-seq data (expected counts) for classification. limma and edgeR are used extensively for differential expression analysis. topGO is used for gene set enrichment for gene ontology.
Getting started
Browse package contents
Package details |
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| Author | Justin Taylor, with contributions from Aaron Mackey, Steve Hoang, Mark Lawson and Fitz Elliott |
| Maintainer | Justin Taylor <taylor@hemoshear.com> |
| License | MIT |
| Version | 1.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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