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README.md
In SRGnet: SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data
SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data
We developed SRGnet to analyze synergistic regulatory mechanisms in transcriptome profiles that act to enhance the overall cell response to combination of mutations, drugs or environmental exposure. This package can be used to identify regulatory modules downstream of synergistic response genes, prioritize synergistic regulatory genes that may be potential intervention targets, and contextualize gene perturbation experiments.
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SRGnet documentation built on Nov. 8, 2020, 5 p.m.
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SRGnet: An R package for studying synergistic response to gene mutations from transcriptomics data
We developed SRGnet to analyze synergistic regulatory mechanisms in transcriptome profiles that act to enhance the overall cell response to combination of mutations, drugs or environmental exposure. This package can be used to identify regulatory modules downstream of synergistic response genes, prioritize synergistic regulatory genes that may be potential intervention targets, and contextualize gene perturbation experiments.
Try the SRGnet package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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