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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2020-12-01
|
| سلاسل: | Scientific Reports |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-020-78033-7 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|