Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.

ABSTRACT:

Background

Comprehensive analyzing multi-omics biological data in different conditions is important for understanding biological mechanism in system level. Multiple or multi-layer network model gives us a new insight into simultaneously analyzing these data, for instance, to identify conserved functional modules in multiple biological networks. However, because of the larger scale and more complicated structure of multiple networks than single network, how to accurate and efficient detect conserved functional biological modules remains a significant challenge.

Results

Here, we propose an efficient method, named ConMod, to discover conserved functional modules in multiple biological networks. We introduce two features to characterize multiple networks, thus all networks are c

SUBMITTER: Wang P 

PROVIDER: S-EPMC6206826 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature