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Predicting the impact of sequence motifs on gene regulation using single-cell data

The binding of transcription factors at proximal promoters and distal enhancers is central to gene regulation. Identifying regulatory motifs and quantifying their impact on expression remains challenging. Using a convolutional neural network trained on single-cell data, we infer putative regulatory...

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Detalles Bibliográficos
Autores principales: Hepkema, Jacob, Lee, Nicholas Keone, Stewart, Benjamin J., Ruangroengkulrith, Siwat, Charoensawan, Varodom, Clatworthy, Menna R., Hemberg, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426127/
https://www.ncbi.nlm.nih.gov/pubmed/37582793
http://dx.doi.org/10.1186/s13059-023-03021-9