Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks
Abstract The reconstruction of Gene Regulatory Networks (GRNs) from gene expression data, supported by machine learning approaches, has received increasing attention in recent years. The task at hand is to identify regulatory links between genes in a network. However, existing methods often suffer w...
Uloženo v:
| Hlavní autoři: | , , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2020-12-01
|
| Edice: | Scientific Reports |
| On-line přístup: | https://doi.org/10.1038/s41598-020-78033-7 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|