Published on in Vol 9 , No 7 (2021) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26714, first published .
A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application

A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application

A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application

Journals

  1. Heacock M, Lopez A, Amolegbe S, Carlin D, Henry H, Trottier B, Velasco M, Suk W. Enhancing Data Integration, Interoperability, and Reuse to Address Complex and Emerging Environmental Health Problems. Environmental Science & Technology 2022;56(12):7544 View
  2. Wood E, Glen A, Kvarfordt L, Womack F, Acevedo L, Yoon T, Ma C, Flores V, Sinha M, Chodpathumwan Y, Termehchy A, Roach J, Mendoza L, Hoffman A, Deutsch E, Koslicki D, Ramsey S. RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinformatics 2022;23(1) View
  3. Troussas C, Krouska A. Path-Based Recommender System for Learning Activities Using Knowledge Graphs. Information 2022;14(1):9 View
  4. Morris J, Soman K, Akbas R, Zhou X, Smith B, Meng E, Huang C, Cerono G, Schenk G, Rizk-Jackson A, Harroud A, Sanders L, Costes S, Bharat K, Chakraborty A, Pico A, Mardirossian T, Keiser M, Tang A, Hardi J, Shi Y, Musen M, Israni S, Huang S, Rose P, Nelson C, Baranzini S, Lu Z. The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information. Bioinformatics 2023;39(2) View