DMRichR v1.2.0

New functions and critical maintenance updates have been made alongside many minor improvements.

The two new key functions are:

1. methylLearn() was developed by @hyeyeon-hwang and utilizes two machine learning algorithms to perform feature selection and identify the top common DMRs. It produces an html report and a heatmap.

2. smoothPheatmap()replaces smoothHeatmap(), where it plots traditional Z-scores and also offers improved aesthetics for multiple covariate annotations.

The two key updates are:

1. processBismark() has been substantially improved by @cemordaunt and the perGroup argument now considers covariate combinations when choosing the percent of samples per a group for CpG coverage filtering.

2. The gene ontology pipes have also been updated to support the latest versions of GREAT and Enrichr.