Package: MineICA 1.47.0

Anne Biton

MineICA: Analysis of an ICA decomposition obtained on genomics data

The goal of MineICA is to perform Independent Component Analysis (ICA) on multiple transcriptome datasets, integrating additional data (e.g molecular, clinical and pathological). This Integrative ICA helps the biological interpretation of the components by studying their association with variables (e.g sample annotations) and gene sets, and enables the comparison of components from different datasets using correlation-based graph.

Authors:Anne Biton

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

Peer review:

Datasets:
  • icaSetCarbayo - IcaSet-object containing a FastICA decomposition of gene expression microarrray-based data of bladder cancer samples.

On BioConductor:MineICA-1.47.0(bioc 3.21)MineICA-1.46.0(bioc 3.20)

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

visualizationmultiplecomparison

3.66 score 23 scripts 268 downloads 1 mentions 93 exports 210 dependencies

Last updated 2 months agofrom:0cd440cb4b. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:AA<-AfileAfile<-Alistannot2colannot2col<-annot2ColorannotFeaturesannotFeaturesCompannotFeaturesWithBiomaRtannotfileannotfile<-annotInGeneannotReciprocalbuildIcaSetbuildMineICAParamschipManuchipManu<-chipVersionchipVersion<-clusterFastICARunsclusterSamplesByCompclusterSamplesByComp_multipleclusVarAnalysiscompareAncompareAn2graphfilecompareGenescompNamescompNames<-cor2Andatdat<-datByGenedatByGene<-datfiledatfile<-geneNamesgenesPathgenesPath<-getCompgetProjgetSdExprhypergeoAnindCompindComp<-martmart<-nbCompnbOccInCompnodeAttrsorganismorganism<-plot_heatmapsOnSelplotAllMixplotCorGraphplotMixplotPosAnnotInCompplotPosSamplesInComppvalCutoffpvalCutoff<-qualVarAnalysisquantVarAnalysisrefSamplesrefSamples<-relativePathresPathresPath<-runAnrunCompareIcaSetsrunEnrichrunICASS<-SByGeneSByGene<-selCutoffselCutoff<-selectContribselectFeatures_IQRselectWitnessGenesSfileSfile<-SlistSlistByGenetypeIDtypeID<-witGeneswitGenes<-writeGeneswriteHtmlResTestsByAnnotwriteProjByCompwriteRnkFiles

Dependencies:abindaffyaffyioannotateAnnotationDbiAnnotationForgeaskpassbackportsbase64base64encbeanplotBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocManagerBiocParallelbiomaRtBiostringsbitbit64bitopsblobbslibbumphuntercachemCategorycheckmateclassclicliprclueclustercodetoolscolorspacecpp11crayoncurldata.tableDBIdbplyrDelayedArrayDelayedMatrixStatsDEoptimRdigestdiptestdoRNGdplyrevaluatefansifarverfastICAfastmapFDb.InfiniumMethylation.hg19filelockflexmixfontawesomeforeachforeignformatRFormulafpcfsfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesGEOqueryggplot2glueGO.dbGOstatsgraphgridExtraGSEABasegtablegtoolsHDF5ArrayhighrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2igraphilluminaioIRangesisobanditeratorsJADEjquerylibjsonliteKEGGRESTkernlabKernSmoothknitrlabelinglambda.rlatticelifecyclelimmalocfitlumilumiHumanAll.dbmagrittrmarrayMASSMatrixMatrixGenericsmatrixStatsmclustmemoisemethylumimgcvmimeminfimodeltoolsmulttestmunsellnleqslvnlmennetnor1mixopensslorg.Hs.eg.dbpillarpkgconfigplogrplyrpngprabcluspreprocessCoreprettyunitsprogresspurrrquadprogR.methodsS3R.ooR.utilsR6rappdirsRBGLRColorBrewerRcppRCurlreadrrentrezreshapereshape2restfulrRgraphvizrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrmarkdownrngtoolsrobustbaserpartRsamtoolsRSQLiterstudioapirtracklayerrvestS4ArraysS4VectorssassscalesscrimeselectrsiggenessnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytexTxDb.Hsapiens.UCSC.hg19.knownGenetzdbUCSC.utilsutf8vctrsviridisviridisLitevroomwithrxfunXMLxml2xtableXVectoryamlzlibbioc

MineICA: Independent component analysis of genomic data

Rendered fromMineICA.Rnwusingutils::Sweaveon Oct 31 2024.

Last update: 2013-12-05
Started: 2013-02-05

Readme and manuals

Help Manual

Help pageTopics
Retrieve and set Source S and Mixing matrix A from IcaSetA A,IcaSet-method A<- A<-,IcaSet,data.frame-method A<-,IcaSet-method getA getA,IcaSet-method getS getS,IcaSet-method getSByGene getSByGene,IcaSet-method nbComp nbComp,IcaSet-method S S,IcaSet-method S<- S<-,IcaSet,data.frame-method S<-,IcaSet-method SByGene SByGene,IcaSet-method SByGene<- SByGene<-,IcaSet,data.frame-method SByGene<-,IcaSet-method setA,IcaSet-method setA<- setS,IcaSet-method setS<- setSByGene,IcaSet-method setSByGene<-
Retrieve sample contributions stored in an 'IcaSet' object as a list.Alist
Association of a colour with each annotation levelannot2Color
Carbayo annotation dataannotCarbayo
Annotation of features using an annotation packageannotFeatures
Features annotationannotFeaturesComp
Annotation of features using 'biomaRt'annotFeaturesWithBiomaRt
Features annotation of an object of class IcaSet.annotInGene
annotReciprocalannotReciprocal
This function builds an object of class 'IcaSet'.buildIcaSet
Creates an object of class MineICAParamsbuildMineICAParams
Run of fastICA and JADE algorithmsclusterFastICARuns
Cluster samples from an IcaSetclusterSamplesByComp
Cluster samples from an IcaSetclusterSamplesByComp_multiple
Tests association between clusters of samples and variablesclusVarAnalysis
Comparison of IcaSet objects using correlationcompareAn
compareAn2graphfilecompareAn2graphfile
Union and intersection of contributing genescompareGenes
Correlation between two matricescor2An
correl2Compcorrel2Comp
Retrieve and set data from IcaSetdat dat,IcaSet-method dat<- dat<-,IcaSet,matrix-method dat<-,IcaSet-method datByGene datByGene,IcaSet-method datByGene<- datByGene<-,IcaSet,matrix-method datByGene<-,IcaSet-method geneNames geneNames,IcaSet-method
Carbayo expression datadataCarbayo
Retrieve feature and sample values on a component stored in an 'IcaSet' object.getComp getComp,IcaSet,character,numeric getComp,IcaSet,character,numeric-method getComp,IcaSet-method
Extract projection valuesgetProj
Output of 'hyperGtest'hgOver
Runs an enrichment analysis per component using package 'GOstats'.hypergeoAn
Class to Contain and Describe an ICA decomposition of High-Throughput Data.Alist,IcaSet-method chipManu chipManu,IcaSet-method chipManu<- chipManu<-,IcaSet,character-method chipManu<-,IcaSet-method chipVersion chipVersion,IcaSet-method chipVersion<- chipVersion<-,IcaSet,character-method chipVersion<-,IcaSet-method class:IcaSet compNames,IcaSet-method compNames<-,IcaSet,character-method getChipManu,IcaSet-method getIndComp,IcaSet-method getLabelsComp,IcaSet-method getMart,IcaSet-method getRefSamples,IcaSet-method getTypeID,IcaSet-method IcaSet IcaSet-class indComp,IcaSet-method indComp<-,IcaSet,character-method mart mart,IcaSet-method mart<- mart<-,IcaSet,character-method mart<-,IcaSet-method organism organism,IcaSet-method organism<- organism<-,IcaSet-method refSamples refSamples,IcaSet-method refSamples<- refSamples<-,IcaSet,character-method refSamples<-,IcaSet-method setChipManu,IcaSet-method setIndComp,IcaSet-method setLabelsComp,IcaSet-method setMart,IcaSet-method setRefSamples,IcaSet-method setTypeID,IcaSet-method Slist,IcaSet-method SlistByGene,IcaSet-method typeID typeID,IcaSet-method typeID<- typeID<-,IcaSet,list-method typeID<-,IcaSet-method witGenes,IcaSet-method witGenes<-,IcaSet,character-method [ [,ANY,ANY,IcaSet-method [,IcaSet,ANY,ANY,ANY-method [,IcaSet,ANY,ANY-method [,IcaSet,ANY-method [<- [<-,IcaSet,ANY,ANY,ANY,ANY-method [<-,IcaSet,ANY,ANY,ANY-method [<-,IcaSet,ANY,ANY-method
IcaSet-object containing a FastICA decomposition of gene expression microarrray-based data of bladder cancer samples.icaSetCarbayo
IcaSet-object containing a FastICA decomposition of gene expression microarrray-based data of bladder cancer samples.icaSetKim
IcaSet-object containing a FastICA decomposition of gene expression microarrray-based data of bladder cancer samples.icaSetRiester
IcaSet-object containing a FastICA decomposition of gene expression microarrray-based data of bladder cancer samples.icaSetStransky
Retrieve and set component labels, indices, and witness genes from IcaSetcompNames compNames<- compNames<-,IcaSet-method getIndComp getLabelsComp getWitGenes indComp indComp<- indComp<-,IcaSet-method setIndComp setLabelsComp setWitGenes witGenes witGenes<- witGenes<-,IcaSet-method
Class to contain parameters for the analysis of an ICA decomposition.Afile Afile,MineICAParams-method Afile<- Afile<-,MineICAParams,character-method Afile<-,MineICAParams-method annot2col annot2col,MineICAParams-method annot2col<- annot2col<-,MineICAParams,character-method annot2col<-,MineICAParams-method annotfile annotfile,MineICAParams-method annotfile<- annotfile<-,MineICAParams,character-method annotfile<-,MineICAParams-method class-MineICAParams class:MineICAParams datfile datfile,MineICAParams-method datfile<- datfile<-,MineICAParams,character-method datfile<-,MineICAParams-method genesPath genesPath,MineICAParams-method genesPath<- genesPath<-,ANY-method genesPath<-,MineICAParams,character-method getAfile getAnnot2col getAnnotfile getdatfile getGenesPath getPvalCutoff getResPath getSelCutoff getSfile MineICAParams pvalCutoff pvalCutoff,MineICAParams-method pvalCutoff<- pvalCutoff<-,MineICAParams,numeric-method pvalCutoff<-,MineICAParams-method resPath resPath,MineICAParams-method resPath<- resPath<-,ANY-method resPath<-,MineICAParams,character-method selCutoff selCutoff,MineICAParams-method selCutoff<- selCutoff<-,MineICAParams,numeric-method selCutoff<-,MineICAParams-method setAfile setAnnot2col setAnnotfile setdatfile setGenesPath setPvalCutoff setResPath setSelCutoff setSfile Sfile Sfile,MineICAParams-method Sfile<- Sfile<-,MineICAParams,character-method Sfile<-,MineICAParams-method [,ANY,ANY,ANY,MineICAParams-method [,ANY,ANY,MineICAParams-method [,ANY,MineICAParams-method [,MineICAParams,ANY,ANY,ANY-method [,MineICAParams,ANY,ANY-method [,MineICAParams,ANY-method [<-,MineICAParams,ANY,ANY,ANY,ANY-method [<-,MineICAParams,ANY,ANY,ANY-method [<-,MineICAParams,ANY,ANY-method
nbOccByGeneInCompnbOccByGeneInComp
Select components the features contribute tonbOccInComp
Generate node attributesnodeAttrs
Plot heatmap associated with each componentplot_heatmapsOnSel
Plots the Gaussian fitted by 'Mclust' on several numeric vectorsplotAllMix
Plots graph usingplotCorGraph
Plots an histogram and Gaussian fitted by 'Mclust'plotMix
Histograms of sample contributions for each annotation levelplotPosAnnotInComp
Tests association between qualitative variables and components.qualVarAnalysis
Correlation between variables and components.quantVarAnalysis
Relative pathrelativePath
Run analysis of an IcaSet objectrunAn
runCompareIcaSetsrunCompareIcaSets
Enrichment analysis through GOstatsrunEnrich
Run of fastICA and JADE algorithmsrunICA
Select contributing features/genesselectContrib selectContrib,IcaSet,numeric,character-method selectContrib,IcaSet-method selectContrib,list,numeric,ANY selectContrib,list,numeric,ANY-method
Selection of features based on their IQRselectFeatures_IQR
selectWitnessGenesselectWitnessGenes
Retrieve feature/gene projections stored in an 'IcaSet' object as a list.Slist SlistByGene
Description of features using package 'biomaRt'.writeGenes
writeProjByCompwriteProjByComp
Write rnk files containing gene projectionswriteRnkFiles