Integration strategies of multi-omics data for machine learning analysis

Increased availability of high-throughput technologies has generated an ever-growing number of omics data that seek to portray many different but complementary biological layers including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. New insight from these data have been obta...

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Detalles Bibliográficos
Autores principales: Picard, Milan, Scott-Boyer, Marie-Pier, Bodein, Antoine, Périn, Olivier, Droit, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258788/
https://www.ncbi.nlm.nih.gov/pubmed/34285775
http://dx.doi.org/10.1016/j.csbj.2021.06.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258788/
https://www.ncbi.nlm.nih.gov/pubmed/34285775
http://dx.doi.org/10.1016/j.csbj.2021.06.030

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