Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
- DOI
- 10.1016/j.inffus.2018.09.012
- Published
- 2019-10
- Container
- Information Fusion
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.inffus.2018.09.012,
title = {Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities},
author = {Marinka Zitnik and Francis Nguyen and Bo Wang and Jure Leskovec and Anna Goldenberg and Michael M. Hoffman},
year = {2019},
journal = {Information Fusion},
doi = {10.1016/j.inffus.2018.09.012},
url = {https://doi.org/10.1016/j.inffus.2018.09.012}
}RIS
TY - JOUR TI - Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities AU - Marinka Zitnik AU - Francis Nguyen AU - Bo Wang AU - Jure Leskovec AU - Anna Goldenberg AU - Michael M. Hoffman PY - 2019 JO - Information Fusion DO - 10.1016/j.inffus.2018.09.012 UR - https://doi.org/10.1016/j.inffus.2018.09.012 ER -
APA
Zitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019). Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities. Information Fusion. https://doi.org/10.1016/j.inffus.2018.09.012
Source records
- crossref · retrieved 2026-09-26T17:31:45.117Z