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Pathogenetic analysis of polycystic ovary syndrome from the perspective of omics

16 Aug 2021

Abstract excerpt

Polycystic ovary syndrome (PCOS) is the most common gynecological endocrine disease, involving multiple genes, multiple pathways, and complex hormone secretion processes. Hence, the pathogenesis of PCOS cannot be explained by a single factor. Omics analysis includes genomics, transcriptomics, and proteomics, which are fast and effective methods for studying the pathogenesis of diseases. PCOS is primarily...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34411918
DOI: 10.1016/j.biopha.2021.112031

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