Cargando…
A neural network based model effectively predicts enhancers from clinical ATAC-seq samples
Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell-specific manner and harbor disease-associated sequence variants in cognate cell types. Many complex diseases are associated with enhancer malfunction, necessitating the discovery and study of enhance...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207744/ https://www.ncbi.nlm.nih.gov/pubmed/30375457 http://dx.doi.org/10.1038/s41598-018-34420-9 |