| processMultipleSigSets {decompTumor2Sig} | R Documentation |
Performs the quadratic programming/exposure prediction for multiple
subsets (of size k) of mutational signatures and returns information on the
best subset (highest explained variance). This function is used by
getBestDecomp4Ksignatures and addBestSignatureToSubset.
processMultipleSigSets(genome, signatures, sigCombn, k, constrainToMaxContribution=FALSE, tolerance=0.1)
genome |
Genome for which to approximate the decomposition. |
signatures |
The whole set of signatures (from which to choose a subset signatures. |
sigCombn |
The combinations of subsets of |
k |
Number of signatures to use (subset size). |
constrainToMaxContribution |
(Optional) [Note: this is experimental
and is usually not needed!] If |
tolerance |
(Optional) If |
A list object containing: k=number of signatures; explVar=variance explained by these signatures; sigList=list of the signatures; decomposition=decomposition (exposures) obtained with these signatures.
Rosario M. Piro
Freie Universitaet Berlin
Maintainer: Rosario
M. Piro
E-Mail: <rmpiro@gmail.com> or <r.piro@fu-berlin.de>
http://rmpiro.net/decompTumor2Sig/
Krueger, Piro (2018) decompTumor2Sig: Identification of mutational
signatures active in individual tumors. BMC Bioinformatics (accepted for
publication).
Krueger, Piro (2017) Identification of Mutational Signatures Active in
Individual Tumors. NETTAB 2017 - Methods, Tools & Platforms for
Personalized Medicine in the Big Data Era, October 16-18, 2017, Palermo,
Italy. PeerJ Preprints 5:e3257v1, 2017.