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 [aut,
cre],
Yuguang Ban [ctb] |
Maintainer: |
Yuan-De Tan <tanyuande at gmail.com> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
no |
CRAN checks: |
signatureSurvival results |
Documentation:
Downloads:
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