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...

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Detalles Bibliográficos
Autores principales: Luo, Xiaomei, Li, Fengmei, Xu, Wenchang, Hong, Kaicheng, Yang, Tao, Chen, Jiansheng, Chen, Xiaohe, Wu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
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

Internet

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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