Package: ProgModule 0.1.0

ProgModule: Identification of Prognosis-Related Mutually Exclusive Modules

A novel tool to identify candidate driver modules for predicting the prognosis of patients by integrating exclusive coverage of mutations with clinical characteristics in cancer.

Authors:Junwei Han [aut, cre, cph], Xiangmei Li [aut], Bingyue Pan [aut]

ProgModule_0.1.0.tar.gz
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ProgModule.pdf |ProgModule.html
ProgModule/json (API)

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

Peer review:

Datasets:

On CRAN:

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

12 exports 0.09 score 203 dependencies 157 downloads

Last updated 4 months agofrom:c568be852a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:get_candidate_moduleget_final_moduleget_local_networkget_lollipopPlotget_mut_statusget_mut_survivalresultget_mutual_moduleget_oncoplotsget_plotMutInteractget_Pvalue_Sget_univarCox_resultMI

Dependencies:abindAnnotationDbiapeaplotaskpassbackportsBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbootbroomcachemcarcarDatacaretclasscliclockclusterProfilercodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncurldata.tableDBIDerivdiagramdigestDNAcopydoByDOSEdplyre1071enrichplotevaluateexactRankTestsfansifarverfastmapfastmatchfgseaforeachformatRfsfutile.loggerfutile.optionsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataggforceggfunggnewscaleggplot2ggplotifyggpubrggraphggrepelggsciggsignifggtextggtreeglmnetglobalsglueGO.dbGOSemSimgowergraphlayoutsgridExtragridGraphicsgridtextgsongtablehardhathighrhttrigraphinfotheoipredIRangesisobanditeratorsjpegjsonliteKEGGRESTKernSmoothkm.ciKMsurvknitrlabelinglambda.rlatticelavalazyevallifecyclelistenvlme4lubridatemaftoolsmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslparallellypatchworkpathwayTMBpbkrtestpillarpkgconfigplogrplyrpngpolyclippolynompROCprodlimprogressrproxypurrrquantregqvalueR.methodsS3R.ooR.utilsR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2RhtslibrlangrpartRSQLiterstatixS4VectorsscalesscatterpieshadowtextshapesnowSparseMSQUAREMstringistringrsurvivalsurvminersurvMiscsyssystemfontstibbletidygraphtidyrtidyselecttidytreetimechangetimeDatetreeiotweenrtzdbUCSC.utilsutf8vctrsviridisviridisLitewithrxfunxml2xtableXVectoryamlyulab.utilszlibbioczoo

Identification of Prognosis-Related Mutually Exclusive Modules

Rendered fromProgModule.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2024-05-17
Started: 2024-05-17