determine.group.scores: Ranking of groups based on predictive power

In pranithavangala/SeqGL_pv: Group lasso for Dnase/ChIP-seq data

Description

Ranking of groups based on predictive power

Usage

determine.group.scores(train.features, labels, group.w, groups, no.cores = 1)

Arguments

train.features	Training feature matrix
labels	Training labels (Should be +1/-1)
group.w	Group lasso model
groups	Feature assignment to groups. Each feature should belong to exactly one group.
no.cores	No of cores for parallel processing

Value

Matrix with a row for each column. Each group will have the following fields: class (+1/-1), score, group.size (no. of kmers in group), class.size (no. non zero kmers in group), group

See Also

run.group.lasso

pranithavangala/SeqGL_pv documentation built on May 25, 2019, 11:25 a.m.