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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486474/ https://www.ncbi.nlm.nih.gov/pubmed/31029063 http://dx.doi.org/10.1093/gigascience/giz045 |