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

Theme Issue 2021: Health Natural Language Processing and Applications (16) Natural Language Processing (893) Clinical Informatics (1293) Ontologies, Classifications, and Coding (318)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28247, first published .
A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study

A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study

A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study

Authors of this article:

Xuan Qin1 Author Orcid Image ;   Xinzhi Yao1 Author Orcid Image ;   Jingbo Xia1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Grissa D, Junge A, Oprea T, Jensen L. Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration. Database 2022;2022 View
  2. Lv J, Bai Y, Chang L, Li Y, Wang R, Zhou W. Development and Study of a Knowledge Graph for Retrieving the Relationship Between BVDV and Related Genes. Current Bioinformatics 2023;18(5):448 View