Compute expression variability measure
This function computes expression variability in a way that removes dependence on mean expression. It uses a local polynomial likelihood method to estimate variance as gamma distributed around given mean expression for each probeset. This function makes this calculation using all samples in argument. To calculate expression variability for samples in different groups, call this function for each subset of columns separately.
matrix of gene expression, with one column per sample
minimum expression value to be included in computation (for
make a plot of local likelihood model using
arguments passed to
numeric vector of length equal to number of rows of
Hector Corrada Bravo firstname.lastname@example.org
E. Alemu, H. Corrada Bravo, S. Hannenhalli (2014). Determinants of Expression Variability. Nucleic Acids Research, 42 (6), 3503-14.
frma for normalization
1 2 3 4 5
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.