NECo: A node embedding algorithm for multiplex heterogeneous networks.

ABSTRACT: Complex diseases such as hypertension, cancer, and diabetes cause nearly 70% of the deaths in the U.S. and involve multiple genes and their interactions with environmental factors. Therefore, identification of genetic factors to understand and decrease the morbidity and mortality from complex diseases is an important and challenging task. With the generation of an unprecedented amount of multi-omics datasets, network-based methods have become popular to represent the multilayered complex molecular interactions. Particularly node embeddings, the low-dimensional representations of nodes in a network are utilized for gene function prediction. Integrated network analysis of multi-omics data alleviates the issues related to missing data and lack of context-specific datasets. Most of the node em

SUBMITTER: Dursun C 

PROVIDER: S-EPMC8466723 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature