Inferring gene and protein interactions using PubMed citations and consensus Bayesian networks.

ABSTRACT: The PubMed database offers an extensive set of publication data that can be useful, yet inherently complex to use without automated computational techniques. Data repositories such as the Genomic Data Commons (GDC) and the Gene Expression Omnibus (GEO) offer experimental data storage and retrieval as well as curated gene expression profiles. Genetic interaction databases, including Reactome and Ingenuity Pathway Analysis, offer pathway and experiment data analysis using data curated from these publications and data repositories. We have created a method to generate and analyze consensus networks, inferring potential gene interactions, using large numbers of Bayesian networks generated by data mining publications in the PubMed database. Through the concept of network resolution, these conse

SUBMITTER: Deeter A 

PROVIDER: S-EPMC5648141 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature