Man pages for kkdey/CountClust
Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models

AbundanceGoMGoM model fit for abundance data
BatchCorrectedCountsObtain Batch effect Corrected counts
compare_omegaRe-ordering cluster membership proportion matrices and...
compGoMcompGoM: compare GoM model fits across K or across different...
ex.countscounts data for GTEx V6 Brain data for 200 genes
ExtractHighCorFeaturesExtracting most highly correlated genes with GoM...
ExtractTopFeaturesExtracting top driving genes of GoM clusters
FitGoMRun Grade of Membership (GoM) model with multiple starting...
FitGoMpoolRun Grade of Membership (GoM) model with multiple starting...
GTExV6Brain.FitGoMGoM model fit for GTEx V6 Brain bulk-RNA data
handleNADeal with NAs in the dataset!
MouseDeng2014.FitGoMGoM model fit for Deng et al 2014 single cell RNA-seq data on...
MouseJaitinSpleen.FitGoMGoM model fit for Jaitin et al 2014 single cell RNA-seq data...
nullmodel_GoMNull models for Grade of Membership (GoM) cluster validation
RemoveSparseFeaturesRemoves features with a lot of 0 counts
StructureGGplotStruture plot using ggplot2
StructurePieStruture Pie plot using ggplot2
kkdey/CountClust documentation built on Nov. 12, 2018, 3:27 p.m.