Man pages for zhongmicai/bigSCale2_singleCell
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-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
deconvolutedeconvolute
extract.cellsextract.cells
getClustersgetClusters
getDistancesgetDistances
getMarkersgetMarkers
getSignaturesgetSignatures
iCellsiCells
preProcesspreProcess
rcpp_hello_worldSimple function using Rcpp
RecursiveClusteringRecursiveClustering
restoreDatarestoreData
setClusterssetClusters
setDistancessetDistances
setMarkerssetMarkers
setModelsetModel
setODgenessetODgenes
storeNormalizedstoreNormalized
storePseudostorePseudo
storeTransformedstoreTransformed
storeTsnestoreTsne
storeUMAPstoreUMAP
viewGeneBarPlotviewGeneBarPlot
viewGeneViolinviewGeneViolin
viewModelviewModel
viewODgenesviewODgenes
ViewPseudoViewPseudo
viewReducedviewReduced
viewSignaturesatures
zhongmicai/bigSCale2_singleCell documentation built on Nov. 5, 2019, 1:26 p.m.