Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding

MOTIVATION: Experimental techniques for measuring chromatin accessibility are expensive and time consuming, appealing for the development of computational approaches to predict open chromatin regions from DNA sequences. Along this direction, existing methods fall into two classes: one based on handc...

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Detalles Bibliográficos
Autores principales: Min, Xu, Zeng, Wanwen, Chen, Ning, Chen, Ting, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870572/
https://www.ncbi.nlm.nih.gov/pubmed/28881969
http://dx.doi.org/10.1093/bioinformatics/btx234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870572/
https://www.ncbi.nlm.nih.gov/pubmed/28881969
http://dx.doi.org/10.1093/bioinformatics/btx234

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