signatureSurvival: Signature Survival Analysis

When multiple Cox proportional hazard models are performed on clinical data (month or year and status) and a set of differential expressions of genes, the results (Hazard risks, z-scores and p-values) can be used to create gene-expression signatures. Weights are calculated using the survival p-values of genes and are utilized to calculate expression values of the signature across the selected genes in all patients in a cohort. A Single or multiple univariate or multivariate Cox proportional hazard survival analyses of the patients in one cohort can be performed by using the gene-expression signature and visualized using our survival plots.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, utils, graphics, grDevices, dplyr, forestplot, gplots, gtools, survival, survminer, ggplot2
Suggests: Rmisc
Published: 2023-07-19
DOI: 10.32614/CRAN.package.signatureSurvival
Author: Yuan-De Tan ORCID iD [aut, cre], Yuguang Ban [ctb]
Maintainer: Yuan-De Tan <tanyuande at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: signatureSurvival results


Reference manual: signatureSurvival.pdf


Package source: signatureSurvival_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): signatureSurvival_1.0.0.tgz, r-oldrel (arm64): signatureSurvival_1.0.0.tgz, r-release (x86_64): signatureSurvival_1.0.0.tgz, r-oldrel (x86_64): signatureSurvival_1.0.0.tgz


Please use the canonical form to link to this page.