ImputePredictiveDropouts: Helper function to PseudoInverseSolution_percell

Description Usage Arguments Value

View source: R/NetworkFunctions.R

Description

ImputePredictiveDropouts applies Moore-Penrose pseudo-inversion to compute the dropout-dependent solution of network imputation for each cell

Usage

1
ImputePredictiveDropouts(net, thr = 0.01, expr)

Arguments

net

matrix, logical; network coefficients for all dropout (to be imputed) genes that are predictive of the expression of other dropout genes

thr

numeric; tolerance threshold to detect zero singular values

expr

numeric; vector of gene expression for all genes in the cell at hand

Value

vector; imputation results for the dropout-dependent genes


ADImpute documentation built on Nov. 8, 2020, 5:30 p.m.