Package: genefu 2.39.1
genefu: Computation of Gene Expression-Based Signatures in Breast Cancer
This package contains functions implementing various tasks usually required by gene expression analysis, especially in breast cancer studies: gene mapping between different microarray platforms, identification of molecular subtypes, implementation of published gene signatures, gene selection, and survival analysis.
Authors:
genefu_2.39.1.tar.gz
genefu_2.39.1.zip(r-4.5)genefu_2.39.1.zip(r-4.4)genefu_2.39.1.zip(r-4.3)
genefu_2.39.1.tgz(r-4.4-any)genefu_2.39.1.tgz(r-4.3-any)
genefu_2.39.1.tar.gz(r-4.5-noble)genefu_2.39.1.tar.gz(r-4.4-noble)
genefu_2.39.1.tgz(r-4.4-emscripten)genefu_2.39.1.tgz(r-4.3-emscripten)
genefu.pdf |genefu.html✨
genefu/json (API)
NEWS
# Install 'genefu' in R: |
install.packages('genefu', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- annot.expos - Gene expression, annotations and clinical data from the International Genomics Consortium
- annot.nkis - Gene expression, annotations and clinical data from van de Vijver et al. 2002
- annot.vdxs - Gene expression, annotations and clinical data from Wang et al. 2005 and Minn et al 2007
- claudinLowData - ClaudinLowData for use in the claudinLow classifier. Data generously provided by Aleix Prat.
- data.expos - Gene expression, annotations and clinical data from the International Genomics Consortium
- data.nkis - Gene expression, annotations and clinical data from van de Vijver et al. 2002
- data.vdxs - Gene expression, annotations and clinical data from Wang et al. 2005 and Minn et al 2007
- demo.expos - Gene expression, annotations and clinical data from the International Genomics Consortium
- demo.nkis - Gene expression, annotations and clinical data from van de Vijver et al. 2002
- demo.vdxs - Gene expression, annotations and clinical data from Wang et al. 2005 and Minn et al 2007
- mod1 - Gene modules published in Desmedt et al. 2008
- mod2 - Gene modules published in Wirapati et al. 2008
- modelOvcAngiogenic - Model used to classify ovarian tumors into Angiogenic and NonAngiogenic subtypes.
- pam50 - PAM50 classifier for identification of breast cancer molecular subtypes
- pam50.robust - PAM50 classifier for identification of breast cancer molecular subtypes
- pam50.scale - PAM50 classifier for identification of breast cancer molecular subtypes
- scmgene.robust - Subtype Clustering Model using only ESR1, ERBB2 and AURKA genes for identification of breast cancer molecular subtypes
- scmod1.robust - Subtype Clustering Model using ESR1, ERBB2 and AURKA modules for identification of breast cancer molecular subtypes
- scmod2.robust - Subtype Clustering Model using ESR1, ERBB2 and AURKA modules for identification of breast cancer molecular subtypes
- sig.endoPredict - Signature used to compute the endoPredict signature as published by Filipits et al 2011
- sig.gene70 - Signature used to compute the 70 genes prognosis profile (GENE70) as published by van't Veer et al. 2002
- sig.gene76 - Signature used to compute the Relapse Score (GENE76) as published in Wang et al. 2005
- sig.genius - Gene Expression progNostic Index Using Subtypes (GENIUS) as published by Haibe-Kains et al. 2010.
- sig.ggi - Gene expression Grade Index (GGI) as published in Sotiriou et al. 2006
- sig.oncotypedx - Signature used to compute the OncotypeDX signature as published by Paik et al 2004
- sig.pik3cags - Gene expression Grade Index (GGI) as published in Sotiriou et al. 2006
- sig.tamr13 - Tamoxifen Resistance signature composed of 13 gene clusters (TAMR13) as published by Loi et al. 2008.
- sigOvcAngiogenic - SigOvcAngiogenic dataset
- sigOvcCrijns - SigOvcCrijns dataset
- sigOvcSpentzos - SigOcvSpentzos dataset
- sigOvcTCGA - SigOvcTCGA dataset
- sigOvcYoshihara - SigOvcYoshihara dataset
- ssp2003 - SSP2003 classifier for identification of breast cancer molecular subtypes
- ssp2003.robust - SSP2003 classifier for identification of breast cancer molecular subtypes
- ssp2003.scale - SSP2003 classifier for identification of breast cancer molecular subtypes
- ssp2006 - SSP2006 classifier for identification of breast cancer molecular subtypes
- ssp2006.robust - SSP2006 classifier for identification of breast cancer molecular subtypes
- ssp2006.scale - SSP2006 classifier for identification of breast cancer molecular subtypes
On BioConductor:genefu-2.39.0(bioc 3.21)genefu-2.37.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
differentialexpressiongeneexpressionvisualizationclusteringclassification
Last updated 25 days agofrom:1ef27ec808. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-win | WARNING | Nov 28 2024 |
R-4.5-linux | WARNING | Nov 28 2024 |
R-4.4-win | WARNING | Nov 28 2024 |
R-4.4-mac | WARNING | Nov 28 2024 |
R-4.3-win | WARNING | Nov 28 2024 |
R-4.3-mac | WARNING | Nov 28 2024 |
Exports:bimodboxplotplus2claudinLowcollapseIDscompareProtoCorcompute.pairw.cor.metacompute.pairw.cor.zcompute.proto.cor.metacordiff.dependoPredictfuzzy.ttestgene70gene76geneid.mapgeniusggiihc4intrinsic.clusterintrinsic.cluster.predictmap.datasetsmedianCtrmolecular.subtypingnpioncotypedxovcAngiogenicovcCrijnsovcTCGAovcYoshiharaoverlapSetspik3cagspower.corps.clusterread.m.filereadArrayrename.duplicaterescalerorSsetcolclass.dfsig.scorespearmanCIst.gallenstab.fsstab.fs.rankingstrescRsubtype.clustersubtype.cluster.predicttamr13tbrmweighted.meanvarwrite.m.file
Dependencies:AIMSamapAnnotationDbiaskpassBiobaseBiocFileCacheBiocGenericsbiomaRtBiostringsbitbit64blobbootstrapcachemclasscliclustercodetoolscpp11crayoncurldata.tableDBIdbplyrdiagramdigestdplyre1071fansifastmapfilelockfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataglobalsgluehmshttrhttr2iC10iC10TrainingDataimputeipredIRangesjsonliteKEGGRESTKernSmoothlatticelavalifecyclelimmalistenvmagrittrMASSMatrixmclustmemoisemimennetnumDerivopensslpamrparallellypillarpkgconfigplogrpngprettyunitsprodlimprogressprogressrproxypurrrR6rappdirsRcpprlangrmetarpartRSQLiteS4VectorsshapeSQUAREMstatmodstringistringrSuppDistssurvcompsurvivalsurvivalROCsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrxml2XVectorzlibbioc