Man pages for cjscholz/ClEvaR
Cluster Evaluation in R

AMIAdjusted Mutual Information
characterizeMarkerThresholdsCharacterize Marker Thresholds
clusterExprsSummaryMatrixConstruct a matrix of expression summary values per cluster.
clusterGranularityCluster Granularity
clusterIntegrityCluster Integrity
confusionHeatmapPlot a confusion heatmap.
EMIExpected Mutual Information
entropyCalculate Shannon Entropy
findMarkerThresholdsFind Marker Thresholds
HBITMCompute the HBITM similarity between two clusterings.
immune_markers_blueprintCell type marker genes and scores.
immune_markers_canonicalCanonical marker genes of the hematopoietic lineage.
immune_markers_lm22Immune cell marker genes and scores.
immune_markers_novershtern2011Marker genes of various immune cell types.
integrityPlotGenerate cluster integrity plot.
makeDonutsMake Donut Plot.
makeScatterplotMake a scatterplot.
maxChunkFGH5Determine the number of chunks of a FASTGenomics Matrix HDF5...
MIMutual Information
multiplotMultiple Plot Function
NMINormalized Mutual Information
observationsFGH5Retrieve observations from FASTGenomics Matrix HDF5 file.
plotDonutsPlot donuts.
plotLegendPlot the legend(s) for donut plots.
readAEoutputRead FASTGenomics Autoencoder Output
readFGH5Read FASTGenomics Matrix in HDF5 format.
readFGH5denseRead FASTGenomics Matrix in dense HDF5 format.
readFGH5sparseRead FASTGenomics Matrix in sparse HDF5 format.
scale_01Scale to 0 - 1 range
scoreCellsClassify cells using marker genes.
scoreCellsInChunksClassify cells using marker genes.
selectMarkerGenesSelect Marker Genes
variablesFGH5Retrieve variables from FASTGenomics Matrix HDF5 file.
zeisel2018Molecular architecture of the mouse nervous system.
cjscholz/ClEvaR documentation built on May 23, 2019, 7:02 p.m.