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Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph
- Source :
- STAR Protocols, Vol 4, Iss 4, Pp 102666- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- Summary: Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge efficiently. Today’s artificial intelligence techniques enable mining BKGs to discover new knowledge. Here, we present a protocol for implementing a computational pipeline for biomedical knowledge discovery (BKD) based on a BKG. We describe steps of the pipeline including data processing, implementing BKD based on knowledge graph embeddings, and prediction result interpretation. We detail how our pipeline can be used for drug repurposing hypothesis generation for Parkinson’s disease.For complete details on the use and execution of this protocol, please refer to Su et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
- Subjects :
- Bioinformatics
Health Sciences
Computer Sciences
Science (General)
Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 26661667
- Volume :
- 4
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- STAR Protocols
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.046f674ef77346e0ba4de5073db5c0fd
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.xpro.2023.102666