Package: RTNsurvival
Type: Package
Title: Survival analysis using transcriptional networks inferred by the
        RTN package
Version: 1.36.0
Author: Clarice S. Groeneveld, Vinicius S. Chagas, Mauro A. A. Castro
Maintainer: Clarice Groeneveld <clari.groeneveld@gmail.com>, Mauro A.
 A. Castro <mauro.a.castro@gmail.com>
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
Description: 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.
License: Artistic-2.0
biocViews: NetworkEnrichment, Survival, GeneRegulation,
        GeneSetEnrichment, NetworkInference, GraphAndNetwork
LazyData: TRUE
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libssl-dev zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:45:50 UTC
RemoteUrl: https://github.com/bioc/RTNsurvival
RemoteRef: RELEASE_3_23
RemoteSha: cf201916c38c03febb2e15560930edf79c095db3
NeedsCompilation: no
Packaged: 2026-07-04 22:37:39 UTC; root