PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology-Reference-Cited by-同舟云学术

PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology

Published:2023-03-01 Issue:2 Volume:20 Page:1269-1277
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Feng Yuhao¹^ORCID,Qi Lei¹^ORCID,Tian Weidong²^ORCID

Affiliation:

1. State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, Department of Computational Biology, School of Life Sciences, Fudan University, Shanghai, China

2. Department of Computational Biology, School of Life Sciences, State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10091711/09763337.pdf?arnumber=9763337

Reference29 articles.

1. Doc2Hpo: a web application for efficient and accurate HPO concept curation

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4. ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis

5. The National Center for Biomedical Ontology

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