NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction

MOTIVATION: Machine learning models for predicting cell-type-specific transcription factor (TF) binding sites have become increasingly more accurate thanks to the increased availability of next-generation sequencing data and more standardized model evaluation criteria. However, knowledge transfer fr...

Descripción completa

Detalles Bibliográficos
Autores principales: Yi, Ren, Cho, Kyunghyun, Bonneau, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563695/
https://www.ncbi.nlm.nih.gov/pubmed/35997560
http://dx.doi.org/10.1093/bioinformatics/btac569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563695/
https://www.ncbi.nlm.nih.gov/pubmed/35997560
http://dx.doi.org/10.1093/bioinformatics/btac569

Ejemplares similares