Загрузка...
Predicting biomedical relationships using the knowledge and graph embedding cascade model
Advances in machine learning and deep learning methods, together with the increasing availability of large-scale pharmacological, genomic, and chemical datasets, have created opportunities for identifying potentially useful relationships within biochemical networks. Knowledge embedding models have b...
Сохранить в:
| Опубликовано в: : | PLoS One |
|---|---|
| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2019
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6565371/ https://ncbi.nlm.nih.gov/pubmed/31194807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0218264 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|