ImputePredictiveDropouts {ADImpute} | R Documentation

## Helper function to PseudoInverseSolution_percell

### Description

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

### Usage

    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

[Package ADImpute version 1.2.0 Index]