estimateSignatures: Estimate number of signatures based on cophenetic correlation...

Description Usage Arguments Details Value See Also Examples

View source: R/estimateSignatures.R

Description

Estimate number of signatures based on cophenetic correlation metric

Usage

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estimateSignatures(
  mat,
  nMin = 2,
  nTry = 6,
  nrun = 10,
  parallel = 4,
  pConstant = NULL,
  verbose = TRUE,
  plotBestFitRes = FALSE
)

Arguments

mat

Input matrix of diemnsion nx96 generated by trinucleotideMatrix

nMin

Minimum number of signatures to try. Default 2.

nTry

Maximum number of signatures to try. Default 6.

nrun

numeric giving the number of run to perform for each value in range. Default 5

parallel

Default 4. Number of cores to use.

pConstant

A small positive value to add to the matrix. Use it ONLY if the functions throws an non-conformable arrays error

verbose

Default TRUE

plotBestFitRes

plots consensus heatmap for range of values tried. Default FALSE

Details

This function decomposes a non-negative matrix into n signatures. Extracted signatures are compared against 30 experimentally validated signatures by calculating cosine similarity. See http://cancer.sanger.ac.uk/cosmic/signatures for details.

Value

a list with NMF.rank object and summary stats.

See Also

plotCophenetic extractSignatures trinucleotideMatrix

Examples

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## Not run: 
laml.maf <- system.file("extdata", "tcga_laml.maf.gz", package = "maftools")
laml <- read.maf(maf = laml.maf)
laml.tnm <- trinucleotideMatrix(maf = laml, ref_genome = 'BSgenome.Hsapiens.UCSC.hg19', prefix = 'chr',
add = TRUE, useSyn = TRUE)
library("NMF")
laml.sign <- estimateSignatures(mat = laml.tnm, plotBestFitRes = FALSE, nMin = 2, nTry = 3, nrun = 2, pConstant = 0.01)

## End(Not run)

maftools documentation built on Feb. 6, 2021, 2 a.m.