updateTheta_NormalizedC: Update the auxiliary parameters theta and normalize them so...

In HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation

Description

Update the auxiliary parameters theta and normalize them so that the summation of each group sums to 1 (E-step), also calculate the current log-likelihood value

Usage

updateTheta_NormalizedC(vPatternList, vSparseCount, vF, vQ, fdim,
  signatureNum, sampleNum, patternNum, samplePatternNum, isBackground, vF0)

Arguments

vPatternList	The list of possible mutation features (converted to a vector)
vSparseCount	The table showing (mutation feature, sample, the number of mutation) (converted to a vector)
vF	F (converted to a vector)
vQ	Q (converted to a vector)
fdim	a vector specifying the number of possible values for each mutation signature
signatureNum	the number of mutation signatures
sampleNum	the number of cancer genomes
patternNum	the number of possible combinations of all the mutation features
samplePatternNum	the number of possible combination of samples and mutation patternns
isBackground	the logical value showing whether a background mutaiton features is included or not
vF0	a background mutaiton features

Value

a value for theta

HiLDA documentation built on Nov. 8, 2020, 11:09 p.m.