ImputeNetParallel: Network-based parallel imputation

Description Usage Arguments Value

View source: R/NetworkFunctions.R

Description

ImputeNetParallel implements network-based imputation in parallel

Usage

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ImputeNetParallel(drop.mat, arranged, cores =
BiocParallel::bpworkers(BPPARAM), type = 'iteration', max.iter = 50,
BPPARAM = BiocParallel::SnowParam(type = "SOCK"))
#'

Arguments

drop.mat

matrix, logical; dropout entries in the data matrix (genes as rows and samples as columns)

arranged

list; output of ArrangeData

cores

integer; number of cores used for paralell computation

type

character; either 'iteration', for an iterative solution, or 'pseudoinv', to use Moore-Penrose pseudo-inversion as a solution.

max.iter

numeric; maximum number of iterations for network imputation. Set to -1 to remove limit (not recommended)

BPPARAM

parallel back-end to be used during parallel computation. See BiocParallelParam-class.

Value

matrix; imputation results incorporating network information


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