RTNsurvival
Survival analysis using transcriptional networks inferred by the RTN package
Bioconductor version: 3.23 · Package version: 1.36.0
RTNsurvival integrates regulons inferred by the RTN package with survival data. For each regulon, a two-tailed GSEA framework computes a differential Enrichment Score (dES) at the individual-sample level. The resulting dES distribution across samples is then used to evaluate survival associations within the cohort. Two primary workflows are supported: (i) Cox proportional hazards models, in which regulon activities are treated as predictors of survival time, and (ii) Kaplan–Meier analyses assessing cohort stratification based on regulon activity. All graphical outputs are customizable according to user specifications.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RTNsurvival") Details
| Maintainer | Clarice Groeneveld <clari.groeneveld@gmail.com>, Mauro A. A. Castro <mauro.a.castro@gmail.com> |
| Author | Clarice S. Groeneveld, Vinicius S. Chagas, Mauro A. A. Castro |
| License | Artistic-2.0 |
| Downloads rank | 301 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneRegulation, GeneSetEnrichment, GraphAndNetwork, NetworkEnrichment, NetworkInference, Software, Survival |
Documentation
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Dependencies
Depends: R (>= 4.4.0), RTN (>= 2.32), RTNduals (>= 1.32), methods
Imports: survival, RColorBrewer, grDevices, graphics, stats, utils, scales, data.table, egg, ggplot2, pheatmap, dunn.test
Suggests: knitr, rmarkdown, BiocStyle, RUnit, BiocGenerics