diffDriver model

This model is applied on data of a single gene. It will infer effect size for both sample-level variable and positional level functional annotations. We used an EM algorithm to infer parameters.

ddmodel(mut, e, mr, fe, label, ...)

Arguments

mut

a matrix of mutation status 0 or 1, rows positions, columns are samples.

e

a vector,phenotype of each sample, should match the columns of mut and mr

mr

a matrix, mutation rate of each sample at each mutation (log scale) that is not dependent on sample level factor

fe,

a vector, increased mutation rate at each position, depending on e (log scale), should match the rows of mut and mr