Characterization of distinct polycystic ovary syndrome subtypes by cluster and principal component analyses
Polycystic ovary syndrome (PCOS) is a common, but clinically heterogeneous, condition. This study explores PCOS subtypes using two orthogonal statistical analyses of biochemical and anthropometric data. Unsupervised hierarchical cluster analysis and principal component analysis (PCA) of hormonal and...
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| Published in: | Frontiers in endocrinology (Lausanne) Vol. 16; p. 1572427 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
Frontiers Media S.A
2025
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| Subjects: | |
| ISSN: | 1664-2392, 1664-2392 |
| Online Access: | Get full text |
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