Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
oleh: Jan Zrimec, Christoph S. Börlin, Filip Buric, Azam Sheikh Muhammad, Rhongzen Chen, Verena Siewers, Vilhelm Verendel, Jens Nielsen, Mats Töpel, Aleksej Zelezniak
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-12-01 |
Deskripsi
Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.