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

Theme Issue 2021: Health Natural Language Processing and Applications (16) Natural Language Processing (706) Clinical Informatics (1050) Ontologies, Classifications, and Coding (243)

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

Xuan Qin   1 , MD ;   Xinzhi Yao   1 , BA ;   Jingbo Xia   1 , PhD

1 Hubei Key Lab of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China

Corresponding Author:

  • Jingbo Xia, PhD
  • Hubei Key Lab of Agricultural Bioinformatics
  • College of Informatics
  • Huazhong Agricultural University
  • 1#, Lion Rock Street, Hongshan District
  • Hubei Province
  • Wuhan, 430070
  • China
  • Phone: 86 02787288509
  • Email: xiajingbo.math@gmail.com