ImputeNetParallel {ADImpute} | R Documentation

## Network-based parallel imputation

### Description

`ImputeNetParallel` implements network-based imputation in parallel

### Usage

    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

[Package ADImpute version 1.2.0 Index]