Man pages for lingxuez/SOUP
Semi-soft Clustering of Single Cell Data

campThe fetal brain single-cell dataset.
cv.error.SOUPCompute cross validation errors
cvSOUPCross validation for SOUP
deconvGBase function of G-modeling deconvolution
deconvSingleDeconvolve the true gene expression distribution of a single...
DESCENDAn S4 class object containing the DESCEND result for a single...
DESCEND.controlThe control parameters of the function 'runDescend' and...
DESCENDselectDESCEND gene selection
findHVGFinding highly variable genes (HVG) based on Gini...
findPureFind pure cells
getCentersGet cluster centers
getClusterLineagesGet lineages from cluster centers
getClusterOrderOrder clusters
getDescendantsGet descendants in a tree
getEstimatesGrab the value and standard deviation of the estimated...
getLineageCurvesGet lineage curves
getLineageTimeDecide cell pseudotime
getMajorMatrixGet the SOUP hard assignment matrix
getPermutePermute labels
getPvalGrab the likelihood ratio test p-values if the tests are...
getSimilarityCompute similarity matrix
getThetaGet the membership matrix and centers
getTimelineEstimate developmental trajectory
heatmapKseqVisualize SOUP hard assignments.
plotContTableVisualize contingency table
plotGeneTimelinePlot gene expression along trajectory
plotLineageCurvesPlot lineages or curves
plotMultipleGeneTimelinePlot multiple gene expressions along trajectory
predictThetaPredict the membership for new data points
projMembershipClean up membership matrix
runDescendApply DESCEND to all the genes in the count matrix for one...
scaleRowSumsScale matrix by row sums
selectGenesSelect highly variable genes
SOUPSOUP
SPCAselectSPCA gene selection
zeiselThe mouse brain single-cell dataset
lingxuez/SOUP documentation built on May 28, 2019, 3:38 p.m.