Man pages for CountClust
Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models
| AbundanceGoM | GoM model fit for abundance data |
| BatchCorrectedCounts | Obtain Batch effect Corrected counts |
| compare_omega | Re-ordering cluster membership proportion matrices and... |
| compGoM | compGoM: compare GoM model fits across K or across different... |
| ex.counts | counts data for GTEx V6 Brain data for 200 genes |
| ExtractHighCorFeatures | Extracting most highly correlated genes with GoM... |
| ExtractTopFeatures | Extracting top driving genes of GoM clusters |
| FitGoM | Run Grade of Membership (GoM) model with multiple starting... |
| GTExV6Brain.FitGoM | GoM model fit for GTEx V6 Brain bulk-RNA data |
| handleNA | Deal with NAs in the dataset! |
| MouseDeng2014.FitGoM | GoM model fit for Deng et al 2014 single cell RNA-seq data on... |
| MouseJaitinSpleen.FitGoM | GoM model fit for Jaitin et al 2014 single cell RNA-seq data... |
| nullmodel_GoM | Null models for Grade of Membership (GoM) cluster validation |
| RemoveSparseFeatures | Removes features with a lot of 0 counts |
| StructureGGplot | Struture plot using ggplot2 |
