Multiple-kernel learning for genomic data mining and prediction

BACKGROUND: Advances in medical technology have allowed for customized prognosis, diagnosis, and treatment regimens that utilize multiple heterogeneous data sources. Multiple kernel learning (MKL) is well suited for the integration of multiple high throughput data sources. MKL remains to be under-ut...

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Detalles Bibliográficos
Autores principales: Wilson, Christopher M., Li, Kaiqiao, Yu, Xiaoqing, Kuan, Pei-Fen, Wang, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694479/
https://www.ncbi.nlm.nih.gov/pubmed/31416413
http://dx.doi.org/10.1186/s12859-019-2992-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694479/
https://www.ncbi.nlm.nih.gov/pubmed/31416413
http://dx.doi.org/10.1186/s12859-019-2992-1

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