Package: survival666 0.5

Honglu Zhang

survival666: Eliminate the Influence of Co-Expression Genes on Target Genes

Functions can be used for batch survival analysis, but not only for it. Most importantly, it can verify any P-value calculated according to the gene expression level and eliminate the influence of co-expression genes.

Authors:Honglu Zhang [aut, cre, cph], Qi Zhang [ctb], Xiaodong Pei [ctb], Jiawen Guo [ctb], Enpeng Liu [ctb]

survival666_0.5.tar.gz
survival666_0.5.tar.gz(r-4.5-noble)survival666_0.5.tar.gz(r-4.4-noble)
survival666_0.5.tgz(r-4.4-emscripten)survival666_0.5.tgz(r-4.3-emscripten)
survival666.pdf |survival666.html✨
survival666/json (API)

# Install 'survival666' in R:
install.packages('survival666', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • clinic - Clinical records of overall survival
  • survivaldata - A filtered transcriptome gene expression matrix.
  • survivalrank - Rank the significance of survival analysis

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 90 dependencies 212 downloads

Last updated 3 years agofrom:ab8e128e5c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-linuxOKAug 31 2024

Exports:super_survivalsurvival_pie

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrevaluateexactRankTestsfansifarvergenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegkm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo