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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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Библиографические подробности
Опубликовано в: :Comput Struct Biotechnol J
Главные авторы: Picard, Milan, Scott-Boyer, Marie-Pier, Bodein, Antoine, Périn, Olivier, Droit, Arnaud
Формат: Artigo
Язык:Inglês
Опубликовано: Research Network of Computational and Structural Biotechnology 2021
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8258788/
https://ncbi.nlm.nih.gov/pubmed/34285775
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.06.030
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