Finding groups of cross-correlated features in bi-view data. (arXiv:2009.05079v3 [stat.ME] UPDATED)

Data sets in which measurements of two (or more) types are obtained from a
common set of samples arise in many scientific applications. A common problem
in the exploratory analysis of such data is to identify groups of features of
different data types that are strongly associated. A bimodule is a pair (A, B)
of feature sets from two data types such that the aggregate cross-correlation
between the features in A and those in B is large. A bimodule (A, …

arxiv bi data features