pgnmf: piggyback NMF

In mskcc/tempoSig: Maximum Likelihood Fitting of Mutational Catalogs and De Novo Inference of Signatures

piggyback NMF

Description

Enables de novo inference of single sample using pre-inferred exposure and signature sets for a large data set (stock)

Usage

pgnmf(
  x,
  stock = NULL,
  filter = FALSE,
  cutoff = NULL,
  progress.bar = TRUE,
  verbose = 1,
  ...
)

Arguments

x	Catalog matrix to be analyzed
stock	tempoSig object containing the stock solution
filter	Filter exposure using CV cutoff cutoff
cutoff	CV cutoff matrix for filtering

Value

List of mean and coefficient of variation cv (sd/mean) of exposure matrices

mskcc/tempoSig documentation built on Feb. 3, 2023, 8:35 a.m.