Sequence-specific bias correction for RNA-seq data using recurrent neural networks

BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. Deep learning is ideally suited...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yao-zhong, Yamaguchi, Rui, Imoto, Seiya, Miyano, Satoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310274/
https://www.ncbi.nlm.nih.gov/pubmed/28198674
http://dx.doi.org/10.1186/s12864-016-3262-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310274/
https://www.ncbi.nlm.nih.gov/pubmed/28198674
http://dx.doi.org/10.1186/s12864-016-3262-5

Ejemplares similares