Computational characterization and identification of human polycystic ovary syndrome genes

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...

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Autores principales: Xing-Zhong Zhang, Yan-Li Pang, Xian Wang, Yan-Hui Li
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/f41f5195b8504573973922fd5d6f602e
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