Machine Learning and Integrative Analysis of Biomedical Big Data

Recent developments in high-throughput technologies have accelerated the accumulation of massive amounts of omics data from multiple sources: genome, epigenome, transcriptome, proteome, metabolome, etc. Traditionally, data from each source (e.g., genome) is analyzed in isolation using statistical an...

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Detalles Bibliográficos
Autores principales: Mirza, Bilal, Wang, Wei, Wang, Jie, Choi, Howard, Chung, Neo Christopher, Ping, Peipei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410075/
https://www.ncbi.nlm.nih.gov/pubmed/30696086
http://dx.doi.org/10.3390/genes10020087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410075/
https://www.ncbi.nlm.nih.gov/pubmed/30696086
http://dx.doi.org/10.3390/genes10020087

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