Загрузка...
Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network
BACKGROUND: The modeling of genetic interactions within a cell is crucial for a basic understanding of physiology and for applied areas such as drug design. Interactions in gene regulatory networks (GRNs) include effects of transcription factors, repressors, small metabolites, and microRNA species....
Сохранить в:
| Опубликовано в: : | BioData Min |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2017
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5543747/ https://ncbi.nlm.nih.gov/pubmed/28785315 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-017-0146-4 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|