gecd_DeconvolutionByDistinguishers: The gecd_DeconvolutionByDistinguishers function

In GeneralElectric/CellDistinguisher: Computational de novo Discovery of Distinguishing Genes for Biological Processes and Cell Types in Complex Tissues

Description

Uses the distinguishers discovered by gecd_CellDistinguisher to deconvolve the original expression data.

Usage

gecd_DeconvolutionByDistinguishers(exprLinear, bestDistinguishers,
  nonNegativeOnly = TRUE, convexSolution = TRUE, verbose = 0)

Arguments

exprLinear	exprLinear is the matrix to be factored
bestDistinguishers	bestDistinguishers is the matrix of anchors that enable the factorization.
nonNegativeOnly	If set to TRUE strictly enforces that the entries in the matrix factors be non-negative. Default is TRUE.
convexSolution	If set to TRUE strictly enforces that the entries for a sample in the sampleComposition matrix sum to 1.0. Default is TRUE.
verbose	Default is 0.

Examples

See https://github.com/GeneralElectric/CellDistinguisher/blob/master/README.txt

GeneralElectric/CellDistinguisher documentation built on May 18, 2020, 6:34 a.m.