Computational characterization and identification of human polycystic ovary syndrome genes
Abstract Human polycystic ovary syndrome (PCOS) is a highly heritable disease regulated by genetic and environmental factors. Identifying PCOS genes is time consuming and costly in wet-lab. Developing an algorithm to predict PCOS candidates will be helpful. In this study, for the first time, we syst...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-31110-4 |