id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-350935-p6euuop3	Doğan, Tunca	CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations	2020-09-15		.txt	text/plain	7066	298	45	We aimed to address this issue by constructing a new biological and biomedical data resource, CROssBAR, a comprehensive system that integrates large-scale biomedical data from various resources and store them in a new NoSQL database, enrich these data with deep-learning-based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to users via easy-to-interpret, interactive and heterogenous knowledge graph (KG) representations within an open access, user-friendly and online web-service at https://crossbar.kansil.org. In this project, we aimed to address the current shortcomings by developing a comprehensive open access biomedical system entitled CROssBAR via integrating various biological databases to each other, inferring the missing relations between existing data points, and constructing informative knowledge graphs based on specific biomedical components/terms such as a disease/phenotype, biological process, gene/protein and drug/compound, or specific combinations of them.	./cache/cord-350935-p6euuop3.txt	./txt/cord-350935-p6euuop3.txt