View source: R/mappingSignature.R
MappingSignature | R Documentation |
This function finds a subset of TMB-based catalog SBS signatures
whose linear combination approximate
de novo
SBS signatures detected by signeR.
MappingSignature(W_hat, W_ref=NULL, niter=100, cutoff.I2=0.1, min.repeats=80)
W_hat |
Matrix or data frame of de novo signatures from signeR |
W_ref |
NULL or a matrix or data frame of TMB-based catalog signatures.
If NULL, then it will default to |
niter |
Number of iterations. The default is 100. |
cutoff.I2 |
Cutoff value to select signatures. The default is 0.1. |
min.repeats |
Minimum number of iterations to select signatures with
|
MappingSignature() applies penalized non-negative least squares (pNNLS) for selecting the TMB-based catalog signatures. Specifically, it repeats pNNLS 100 times (niter) to reduce the randomness of cross-validation involved in pNNLS. Then TMB-based catalog signatures are selected with a coefficient greater than 0.1 (cutoff.I2) in more than 80 repeats (min.repeats).
A data frame with column names of W_ref (it returns COSMIC SBS names if COSMIC catlog based reference signatures are used) and freq (the number of repetitions greater than cutoff coefficient values out of niter iterations).
Donghyuk Lee <dhyuklee@pusan.ac.kr> and Bin Zhu <bin.zhu@nih.gov>
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