Utilities for scRNA-seq data analysis


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Documentation for package ‘hammers’ version 0.99.11

Help Pages

addCategory Add a categorical column to a data frame based on another column
addMetadataCategory Add a categorical column to a Seurat metadata or SingleCellExperiment coldata
addNormSilhouette Adds normalized silhouette column to a single-cell expression object
centerOfMass Calculate the center of mass of columns
checkGenes Check if all genes exist in the single-cell expression object
colCenters Calculate the centers of mass of metadata/coldata columns
colsDimPlot Create a single-cell dimensionality reduction plot with added labeled points for numeric columns
computeSilhouette Compute cluster silhouette for single-cell expression object
devPlot Saves plot or list of plots
devPlot.default Saves plot or list of plots
devPlot.function Saves plot or list of plots
devPlot.ggplot Saves plot or list of plots
devPlot.list Saves plot or list of plots
distributionPlot Plot the distribution of cells across two columns
findRareGenes Find rare genes in a Seurat or SingleCellExpression object
geneCellSets Generates cell sets for each input gene
geneCenters Calculate the centers of mass of the expression of input genes
genePresence Extract gene presence from a Seurat or SingleCellExperiment object
genesDimPlot Create a single-cell dimensionality reduction plot with added labeled points for genes
joinCharCombs Join all combinations of elements from character vectors
keyvalMap Create a map from keys to values
normalizeSilhouette Normalize silhouette by identity class for single-cell expression object
pointsDimPlot Create a single-cell dimensionality reduction plot with added labeled points
prepAlluvial Prepare dataframe for alluvial plot
pvalRiverPlot Plot representation data frame
removeRareGenes Remove rare genes from a Seurat or SingleCellExpression object
repAnalysis Find the differential representation of two Seurat or SingleCellExperiment columns
safeMessage Message an input if verbose is set to TRUE
safeMinmax Perform min-max normalization when possible; otherwise return a single-value vector.