The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data
Abstract Background Polycystic ovary syndrome (PCOS) is a reproductive endocrine disorder. The specific molecular mechanism of PCOS remains unclear. The aim of this study was to apply a bioinformatics approach to reveal related pathways or genes involved in the development of PCOS. Methods The next-...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
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| Series: | Middle East Fertility Society Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43043-024-00212-7 |
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