CalculateSignatureBurdens | R Documentation |
Estimation of the expected number of mutations attributed by TMB-based catalog signatures (signature expectancy) given the panel size matrix, the catalog signature profile matrix and the signature activities matrix.
CalculateSignatureBurdens(L, W, H)
L |
Panel size matrix or data frame with samples in columns |
W |
Catalog signature profiles matrix or data frame with signatures in columns |
H |
Activity matrix or data frame with samples in columns |
The panel size matrix L is of size P (the mutation context) by N
(the sample size). The catalog signature profile matrix has dimension
of P by K (the number of signatures) and the activity matrix H is of
size K by N. For single base substitutions (SBS), P is 96.
If K
is the number of signatures and N
is
the number of samples, then H
must be of dimension K X N
,
ncol(L) = N
, and ncol(W) = K
.
A matrix of dimension K X N
, where K
is the number
of signatures and N
is the number of samples.
Donghyuk Lee <dhyuklee@pusan.ac.kr> and Bin Zhu <bin.zhu@nih.gov>
EstimateSigActivity
data(SimData, package="SATS")
CalculateSignatureBurdens(SimData$L, SimData$TrueW_TMB, SimData$TrueH)
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