This paper is in the following e-collection/theme issue:

Ontologies, Classifications, and Coding (282) Knowledge Translation and Implementation Science (456) Genomics and Bioinformatics for Clinical Use (36) Genome Analysis and Visualization (15) Natural Language Processing (829)

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

Authors of this article:

Karamarie Fecho1, 2 Author Orcid Image ;   Chris Bizon1 Author Orcid Image ;   Frederick Miller3 Author Orcid Image ;   Shepherd Schurman3 Author Orcid Image ;   Charles Schmitt3 Author Orcid Image ;   William Xue3 Author Orcid Image ;   Kenneth Morton4 Author Orcid Image ;   Patrick Wang4 Author Orcid Image ;   Alexander Tropsha1, 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

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
  5. Shen Y, Kioumourtzoglou M, Wu H, Vokonas P, Spiro A, Navas-Acien A, Baccarelli A, Gao F. Cohort Network: A Knowledge Graph toward Data Dissemination and Knowledge-Driven Discovery for Cohort Studies. Environmental Science & Technology 2023;57(22):8236 View
  6. Callaghan J, Xu C, Xin J, Cano M, Riutta A, Zhou E, Juneja R, Yao Y, Narayan M, Hanspers K, Agrawal A, Pico A, Wu C, Su A, Robinson P. BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs. Bioinformatics 2023;39(9) View
  7. Troussas C, Krouska A, Tselenti P, Kardaras D, Barbounaki S. Enhancing Personalized Educational Content Recommendation through Cosine Similarity-Based Knowledge Graphs and Contextual Signals. Information 2023;14(9):505 View
  8. Lotz J, Ropella G, Anderson P, Yang Q, Hedderich M, Bailey J, Hunt C. An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research. JOR SPINE 2023;6(4) View
  9. Frau F, Loustalot P, Törnqvist M, Temam N, Cupe J, Montmerle M, Augé F. Connecting electronic health records to a biomedical knowledge graph to link clinical phenotypes and molecular endotypes in atopic dermatitis. Scientific Reports 2025;15(1) View
  10. Sukhwal P, Rajan V, Kankanhalli A. A Joint LLM-KG System for Disease Q&A. IEEE Journal of Biomedical and Health Informatics 2025;29(3):2257 View
  11. Tropsha A, Martin H, Cherkasov A. The Six Ds of Exponentials and drug discovery: A path toward reversing Eroom’s law. Drug Discovery Today 2025;30(4):104341 View
  12. Fecho K, Tucker N, Beasley J, Auerbach S, Bizon C, Tropsha A. Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph. Frontiers in Toxicology 2025;7 View