Man pages for iaconogi/bigSCale2
A framework for the analysis of single cell data (RNA-seq and ATAC-seq) including clustering,phenotyping,pseudotime and inferring gene regulatory networks.

bigscalebigSCale2.0
bigscale.atacbigSCale ATAC
bigscale.atac.pseudobigSCale ATAC Pseudo (IN DEVELOPMENT, DO NOT USE)
bigscale.convert.h5bigscale.convert.h5
bigscaleDEDifferential Expression
bigscale.generate.reportbigscale.generate.report
bigSCale-packageA short title line describing what the package does
bigscale.readMMbigscale.readMM
bigscale.writeMMbigscale.writeMM
compare.centralityCompare gene centralities
compute.atac.networkATAC-seq Gene regulatory network
compute.distances.icellCompute iCell distances
computeMarkerscomputeMarkers
compute.networkGene regulatory network
compute.network.modelCompute network model
deconvolutedeconvolute
extract.cellsextract.cells
getClustersgetClusters
getDistancesgetDistances
getMarkersgetMarkers
getSignaturesgetSignatures
homogenize.networkshomogenize.networks
iCellsiCells
preProcesspreProcess
rcpp_hello_worldSimple function using Rcpp
RecursiveClusteringRecursiveClustering
restoreDatarestoreData
setClusterssetClusters
setDCTsetDCT
setDistancessetDistances
setMarkerssetMarkers
setModelsetModel
setODgenessetODgenes
storeNormalizedstoreNormalized
storePseudostorePseudo
storeTransformedstoreTransformed
storeTsnestoreTsne
storeUMAPstoreUMAP
toCytoscapebigscale.toCytoscape
viewGeneBarPlotviewGeneBarPlot
viewGeneViolinviewGeneViolin
viewModelviewModel
viewODgenesviewODgenes
ViewPseudoViewPseudo
viewReducedviewReduced
viewSignaturesatures
iaconogi/bigSCale2 documentation built on July 18, 2020, 8:21 p.m.