CelliD-package          Multiple Correspondence Analysis on Single Cell
                        for Joint Dimensionality Reduction of Gene and
                        Cell, Cells Geneset Extraction and Geneset
                        Enrichment Analysis
DimPlotMC               Seurat DimPlot for MCA like Dimensionality
                        Reduction
DistSort                Sort Gene Cell Distance Matrix
GetCellGeneDistance     Distance Calculation
GetCellGeneRanking      Ranking Extraction
GetCellGeneSet          Gene sets extraction from MCA
GetGSEAMatrix           Get Matrix from Enrichment Results
GetGeneCellCoordinates
                        GeneCellCoordinates
GetGroupCoordinates     Centroids Coordinates
GetGroupGeneDistance    Centroids-Genes distances
GetGroupGeneRanking     Gene Specificity Ranking Calculation
GetGroupGeneSet         Extract cluster/group gene sets from MCA
Hallmark                Hallmark Pathways from MSigDB
HgProteinCodingGenes    Homo Sapiens Protein Coding Genes
MgProteinCodingGenes    Mus Musculus Protein Coding Genes
RunCellGSEA             Run Gene Set Enrichment Analysis on cells
RunCellHGT              Run HyperGeometric Test on cells
RunGroupGSEA            Run GSEA on cluster/groups
RunMCA                  Run Multiple Correspondence Analysis
RunMCDMAP               Diffusion Map on MCA coordinates
RunMCTSNE               tSNE on MCA coordinates
RunMCUMAP               UMAP on MCA coordinates
checkCelliDArg          Check for CelliD arguments
fgseaCelliD             Slight change in fgsea for ram and speed
                        efficiency in CelliD
import                  Import
pairDist                Distance Calculation
plotReducedDimMC        Scater plotReducedDim for MCA like
                        dimensionality Reduction
setDimMCSlot            SetDimSlot
seuratPbmc              Seurat object of 400 PBMC cells
