Cargando…
Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers
BACKGROUND: The largest sequence-based models of transcription control to date are obtained by predicting genome-wide gene regulatory assays across the human genome. This setting is fundamentally correlative, as those models are exposed during training solely to the sequence variation between human...
Autores principales: | Karollus, Alexander, Mauermeier, Thomas, Gagneur, Julien |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045630/ https://www.ncbi.nlm.nih.gov/pubmed/36973806 http://dx.doi.org/10.1186/s13059-023-02899-9 |
Ejemplares similares
-
Predicting mean ribosome load for 5’UTR of any length using deep learning
por: Karollus, Alexander, et al.
Publicado: (2021) -
The adapted Activity-By-Contact model for enhancer–gene assignment and its application to single-cell data
por: Hecker, Dennis, et al.
Publicado: (2023) -
Ignore fractures of the ulnar styloid in distal radius fractures
por: Zyluk, Andrzej
Publicado: (2015) -
The most likely but largely ignored triggering factor for breast (or all) cancer invasion
por: Man, Yan-gao, et al.
Publicado: (2023) -
Ignoring Non-ignorable Missingness
por: Rabe-Hesketh, Sophia, et al.
Publicado: (2022)