ImputeNetParallel {ADImpute} | R Documentation |
ImputeNetParallel
implements network-based imputation
in parallel
ImputeNetParallel(drop.mat, arranged, cores = BiocParallel::bpworkers(BPPARAM), type = 'iteration', max.iter = 50, BPPARAM = BiocParallel::SnowParam(type = "SOCK")) #'
drop.mat |
matrix, logical; dropout entries in the data matrix (genes as rows and samples as columns) |
arranged |
list; output of |
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 |
matrix; imputation results incorporating network information