Cargando…
The adapted Activity-By-Contact model for enhancer–gene assignment and its application to single-cell data
MOTIVATION: Identifying regulatory regions in the genome is of great interest for understanding the epigenomic landscape in cells. One fundamental challenge in this context is to find the target genes whose expression is affected by the regulatory regions. A recent successful method is the Activity-...
Autores principales: | Hecker, Dennis, Behjati Ardakani, Fatemeh, Karollus, Alexander, Gagneur, Julien, Schulz, Marcel H |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931646/ https://www.ncbi.nlm.nih.gov/pubmed/36708003 http://dx.doi.org/10.1093/bioinformatics/btad062 |
Ejemplares similares
-
Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers
por: Karollus, Alexander, et al.
Publicado: (2023) -
Predicting mean ribosome load for 5’UTR of any length using deep learning
por: Karollus, Alexander, et al.
Publicado: (2021) -
Predicting transcription factor binding using ensemble random forest models
por: Behjati Ardakani, Fatemeh, et al.
Publicado: (2019) -
CpG content-dependent associations between transcription factors and histone modifications
por: Fischer, Jonas, et al.
Publicado: (2021) -
Prediction of single-cell gene expression for transcription factor analysis
por: Behjati Ardakani, Fatemeh, et al.
Publicado: (2020)