QPforSig {decompTumor2Sig} | R Documentation |
Perform quadratic programming for signatures to determine exposures.
QPforSig(counts, signatures, constrainToMaxContribution=FALSE, tolerance=0.1)
counts |
The genome's mutation frequencies (either in Alexandrov or Shiraishi format). |
signatures |
The signatures to be used for decomposition. Must be in
the same format as the genome's |
constrainToMaxContribution |
(Optional) [Note: this is experimental
and is usually not needed!] If |
tolerance |
(Optional) If |
The decomposition in form of an exposure vector (same order as
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.