A systematic bioinformatics tool to perform single-sample mutation-based pathway analysis by integrating somatic mutation data with the Protein-Protein Interaction (PPI) network. In this method, we use local and global weighted strategies to evaluate the effects of network genes from mutations according to the network topology and then calculate the mutation-based pathway enrichment score (ssMutPES) to reflect the accumulated effect of mutations of each pathway. Subsequently, the ssMutPES profiles are used for unsupervised spectral clustering to identify cancer subtypes.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | ggplot2, ggridges, grDevices, igraph, kernlab, maftools, Matrix, NbClust, parallel, pheatmap, RColorBrewer, stats, survival, utils |
| Suggests: | knitr, qpdf, rmarkdown |
| Published: | 2024-10-15 |
| DOI: | 10.32614/CRAN.package.ssMutPA |
| Author: | Junwei Han [aut, cre, cph], Yalan He [aut], Qian Wang [aut] |
| Maintainer: | Junwei Han <hanjunwei1981 at 163.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ssMutPA results |
| Reference manual: | ssMutPA.html , ssMutPA.pdf |
| Vignettes: |
ssMutPA (source, R code) |
| Package source: | ssMutPA_0.1.2.tar.gz |
| Windows binaries: | r-devel: ssMutPA_0.1.2.zip, r-release: ssMutPA_0.1.2.zip, r-oldrel: ssMutPA_0.1.2.zip |
| macOS binaries: | r-release (arm64): ssMutPA_0.1.2.tgz, r-oldrel (arm64): ssMutPA_0.1.2.tgz, r-release (x86_64): ssMutPA_0.1.2.tgz, r-oldrel (x86_64): ssMutPA_0.1.2.tgz |
| Old sources: | ssMutPA archive |
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