Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework

The identification of transcription factor binding sites and cis-regulatory motifs is a frontier whereupon the rules governing protein–DNA binding are being revealed. Here, we developed a new method (DEep Sequence and Shape mOtif or DESSO) for cis-regulatory motif prediction using deep neural networ...

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Detalles Bibliográficos
Autores principales: Yang, Jinyu, Ma, Anjun, Hoppe, Adam D, Wang, Cankun, Li, Yang, Zhang, Chi, Wang, Yan, Liu, Bingqiang, Ma, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6735894/
https://www.ncbi.nlm.nih.gov/pubmed/31372637
http://dx.doi.org/10.1093/nar/gkz672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6735894/
https://www.ncbi.nlm.nih.gov/pubmed/31372637
http://dx.doi.org/10.1093/nar/gkz672

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