Man pages for shibiaowan/SHARP
hyperfast and accurate single-cell RNA-Seq data clustering

ARICalculate the adjusted rand index (ARI), including 5...
cfunCombine results which may contain NULL or sparse matrices
getAObtain the co-location matrix
gethclusthierarchical clustering with number of clusters determined...
get_marker_genesGet marker genes for each cluster
get_marker_genes_unlimitedGet marker genes of each cluster for huge-size single-cell...
get_marker_genes_unlimited2Get marker genes of each cluster for huge-size single-cell...
get_opt_hclustget the optimal hierarchical clustering results with the...
get_percluster_expGet cluster-specific expression matrix
getrowColorhierarchical clustering with number of clusters determined...
getssObtain the co-location matrix
plot_markersPlot marker genes
ranMPrepare a random matrix
ranM2Prepare a random matrix
RPmatObtain a random matrix and its related information
run_Mtimes_SHARPRun multiple-times SHARP for single-cell RNA data clustering
SHARPRun SHARP for single-cell RNA data clustering
SHARP_fpartRun SHARP for clustering single-cell RNA data whose size...
SHARP_largeRun SHARP for large-size (by default, >= 5000) single-cell...
SHARP_smallRun SHARP for small-size (< 5000) single-cell RNA datasets
SHARP_unlimitedRun SHARP for clustering single-cell RNA data whose size...
SHARP_unlimited2Run SHARP for clustering single-cell RNA data whose size...
SHARP_unlimited3Run SHARP for clustering single-cell RNA data whose size...
sMetaCsimilarity-based ensemble meta-clustering
testlogTest if log-transformation is necessary.
visualization_SHARPSHARP visualization
wMetaCweighted ensemble clustering
shibiaowan/SHARP documentation built on Jan. 26, 2020, 4:06 a.m.