Cargando…
Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
Understanding the genetic regulatory code governing gene expression is an important challenge in molecular biology. However, how individual coding and non-coding regions of the gene regulatory structure interact and contribute to mRNA expression levels remains unclear. Here we apply deep learning on...
Autores principales: | Zrimec, Jan, Börlin, Christoph S., Buric, Filip, Muhammad, Azam Sheikh, Chen, Rhongzen, Siewers, Verena, Verendel, Vilhelm, Nielsen, Jens, Töpel, Mats, Zelezniak, Aleksej |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708451/ https://www.ncbi.nlm.nih.gov/pubmed/33262328 http://dx.doi.org/10.1038/s41467-020-19921-4 |
Ejemplares similares
-
Controlling gene expression with deep generative design of regulatory DNA
por: Zrimec, Jan, et al.
Publicado: (2022) -
Learning the Regulatory Code of Gene Expression
por: Zrimec, Jan, et al.
Publicado: (2021) -
Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra
por: Buric, Filip, et al.
Publicado: (2020) -
Learning deep representations of enzyme thermal adaptation
por: Li, Gang, et al.
Publicado: (2022) -
metaGEM: reconstruction of genome scale metabolic models directly from metagenomes
por: Zorrilla, Francisco, et al.
Publicado: (2021)