RTNsurvival is a tool for integrating regulons generated by the RTN package with survival information. For a given regulon, the 2-tailed GSEA approach computes a differential Enrichment Score (dES) for each individual sample, and the dES distribution of all samples is then used to assess the survival statistics for the cohort. There are two main survival analysis workflows: a Cox Proportional Hazards approach used to model regulons as predictors of survival time, and a Kaplan-Meier analysis assessing the stratification of a cohort based on the regulon activity. All plots can be fine-tuned to the user's specifications.
|Author||Clarice S. Groeneveld, Vinicius S. Chagas, Mauro A. A. Castro|
|Bioconductor views||GeneRegulation GeneSetEnrichment GraphAndNetwork NetworkEnrichment NetworkInference Survival|
|Date of publication||2018-09-05|
|Maintainer||Clarice Groeneveld <[email protected]>, Mauro A. A. Castro <[email protected]>|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.