snv_signatureEnrichment: Performs sample stratification based on signature...
In ShixiangWang/VSHunter: Capture Variation Signatures from Genomic Data

Description Usage Arguments Value See Also Examples

Performs k-means clustering to assign signature to samples and performs enrichment analysis.

1 2	snv_signatureEnrichment(maf, sig_res, minMut = 5, useCNV = FALSE, fn = NULL)

`maf`	an `MAF` object used for signature analysis.
`sig_res`	Signature results from `extractSignatures`
`minMut`	Consider only genes with minimum this number of samples mutated. Default 5.
`useCNV`	whether to include copy number events. Only applicable when MAF is read along with copy number data. Default TRUE if available.
`fn`	basename for output file. Default NULL.

result list containing p-values

Other SNV analysis functions: snv_extractSignatures, snv_plotSignatures, snv_readprofile, snv_trinucleotideMatrix

## Not run: 
laml.tnm <- snv_trinucleotideMatrix(maf = laml, ref_genome = 'BSgenome.Hsapiens.UCSC.hg19',
    prefix = 'chr', add = TRUE, useSyn = TRUE)
laml.sign <- snv_extractSignatures(mat = laml.tnm, plotBestFitRes = FALSE)

## End(Not run)