Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data

Identifying cis-regulatory motifs from genomic sequencing data (e.g. ChIP-seq and CLIP-seq) is crucial in identifying transcription factor (TF) binding sites and inferring gene regulatory mechanisms for any organism. Since 2015, deep learning (DL) methods have been widely applied to identify TF bind...

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Detalles Bibliográficos
Autores principales: Zhang, Shuangquan, Ma, Anjun, Zhao, Jing, Xu, Dong, Ma, Qin, Wang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769700/
https://www.ncbi.nlm.nih.gov/pubmed/34607350
http://dx.doi.org/10.1093/bib/bbab374

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769700/
https://www.ncbi.nlm.nih.gov/pubmed/34607350
http://dx.doi.org/10.1093/bib/bbab374

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