A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

BACKGROUND: High-throughput sequencing data are widely collected and analyzed in the study of complex diseases in quest of improving human health. Well-studied algorithms mostly deal with single data source, and cannot fully utilize the potential of these multi-omics data sources. In order to provid...

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Detalles Bibliográficos
Autores principales: Yan, Kang K., Zhao, Hongyu, Pang, Herbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389230/
https://www.ncbi.nlm.nih.gov/pubmed/29212468
http://dx.doi.org/10.1186/s12859-017-1982-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389230/
https://www.ncbi.nlm.nih.gov/pubmed/29212468
http://dx.doi.org/10.1186/s12859-017-1982-4

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