AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU

BACKGROUND: The data deluge can leverage sophisticated ML techniques for functionally annotating the regulatory non-coding genome. The challenge lies in selecting the appropriate classifier for the specific functional annotation problem, within the bounds of the hardware constraints and the model’s...

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Detalles Bibliográficos
Autores principales: Fang, Chih-Hao, Theera-Ampornpunt, Nawanol, Roth, Michael A., Grama, Ananth, Chaterji, Somali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781298/
https://www.ncbi.nlm.nih.gov/pubmed/31590652
http://dx.doi.org/10.1186/s12859-019-3049-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781298/
https://www.ncbi.nlm.nih.gov/pubmed/31590652
http://dx.doi.org/10.1186/s12859-019-3049-1

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