Cargando…
Chromatin interaction–aware gene regulatory modeling with graph attention networks
Linking distal enhancers to genes and modeling their impact on target gene expression are longstanding unresolved problems in regulatory genomics and critical for interpreting noncoding genetic variation. Here, we present a new deep learning approach called GraphReg that exploits 3D interactions fro...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory Press
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104700/ https://www.ncbi.nlm.nih.gov/pubmed/35396274 http://dx.doi.org/10.1101/gr.275870.121 |