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A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification

BACKGROUND: An integrative multi-omics analysis approach that combines multiple types of omics data including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics has become increasing popular for understanding the pathophysiology of complex diseases. Although many mult...

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Библиографические подробности
Опубликовано в: :Gigascience
Главные авторы: Chung, Ren-Hua, Kang, Chen-Yu
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2019
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6486474/
https://ncbi.nlm.nih.gov/pubmed/31029063
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz045
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