Convolutional neural network architectures for predicting DNA–protein binding

Motivation: Convolutional neural networks (CNN) have outperformed conventional methods in modeling the sequence specificity of DNA–protein binding. Yet inappropriate CNN architectures can yield poorer performance than simpler models. Thus an in-depth understanding of how to match CNN architecture to...

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Detalles Bibliográficos
Autores principales: Zeng, Haoyang, Edwards, Matthew D., Liu, Ge, Gifford, David K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908339/
https://www.ncbi.nlm.nih.gov/pubmed/27307608
http://dx.doi.org/10.1093/bioinformatics/btw255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908339/
https://www.ncbi.nlm.nih.gov/pubmed/27307608
http://dx.doi.org/10.1093/bioinformatics/btw255

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