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Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants
BACKGROUND: Hereditary hearing loss (HHL) is the most common sensory deficit, which highly afflicts humans. With gene sequencing technology development, more variants will be identified and support genetic diagnoses, which is difficult for human experts to diagnose. This study aims to develop a mach...
Autores principales: | Luo, Xiaomei, Li, Fengmei, Xu, Wenchang, Hong, Kaicheng, Yang, Tao, Chen, Jiansheng, Chen, Xiaohe, Wu, Hao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237285/ https://www.ncbi.nlm.nih.gov/pubmed/34161886 http://dx.doi.org/10.1016/j.ebiom.2021.103322 |
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