Package: signatureSurvival 1.0.0

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.

Authors:Yuan-De Tan [aut, cre], Yuguang Ban [ctb]

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11 exports 1 stars 0.09 score 97 dependencies 168 downloads

Last updated 1 years agofrom:9fa077f4f7. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:MKMplotMMKMplotMUKMplotmusvtestMVKMresultmvstestsignatureExpSKMCresultsurvivalForestUKMplotweight

Dependencies:abindbackportsbitopsbootbroomcarcarDatacaToolscheckmateclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrevaluateexactRankTestsfansifarverforestplotgenericsggplot2ggpubrggrepelggsciggsignifggtextgluegplotsgridExtragridtextgtablegtoolshighrisobandjpegKernSmoothkm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo