View source: R/markerGenesAndMapping.r
getBetaScore | R Documentation |
Returns a beta score which indicates the binaryness of a gene across clusters. High scores (near 1) indicate that a gene is either on or off in nearly all cells of every cluster. Scores near 0 indicate a cells is non-binary (e.g., not expressed, ubiquitous, or randomly expressed). This value is used for gene filtering prior to defining clustering.
getBetaScore(propExpr, returnScore = TRUE, spec.exp = 2)
propExpr |
a matrix of proportions of cells (rows) in a given cluster (columns) with CPM/FPKM > 1 (or 0, HCT uses 1) |
returnScore |
if TRUE returns the score, if FALSE returns the ranks |
spec.exp |
scaling factor (recommended to leave as default) |
returns a numeric vector of beta score (or ranks)
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