Hetnet connectivity search provides rapid insights into how biomedical entities are related

Himmelstein, D. S., Zietz, M., Rubinetti, V., Kloster, K., Heil, B. J., Alquaddoomi, F., Hu, D., Nicholson, D. N., Hao, Y., Sullivan, B. D., Nagle, M. W., & Greene, C. S. (2022). Hetnet connectivity search provides rapid insights into how biomedical entities are related. GigaScience, 12. https://doi.org/10.1093/gigascience/giad047
Authors:
Daniel S Himmelstein
Michael Zietz
Vincent Rubinetti
Kyle Kloster
Benjamin J Heil
Faisal Alquaddoomi
Dongbo Hu
David N Nicholson
Yun Hao
Blair D Sullivan
Michael W Nagle
Casey S Greene
Affiliated Authors:
Michael Zietz
Columbia Affiliation:
Subjects:
Algorithms (MeSH)
Author Keywords:
hetionet
algorithms
bioinformatics
connectivity
hetnets
knowledge graphs
matrix multiplication
networks
path counts
search
elink
Publication Type:
Article
Unique ID:
10.1093/gigascience/giad047
PMID:
37503959
DOI:
10.1093/gigascience/giad047
Journal:
GigaScience
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: