Genetic Risk Assessment of Nonsyndromic Cleft Lip with or without Cleft Palate by Linking Genetic Networks and Deep Learning Models

Recent deep learning algorithms have further improved risk classification capabilities. However, an appropriate feature selection method is required to overcome dimensionality issues in population-based genetic studies. In this Korean case–control study of nonsyndromic cleft lip with or without clef...

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Detalles Bibliográficos
Autores principales: Kang, Geon, Baek, Seung-Hak, Kim, Young Ho, Kim, Dong-Hyun, Park, Ji Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003462/
https://www.ncbi.nlm.nih.gov/pubmed/36901988
http://dx.doi.org/10.3390/ijms24054557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003462/
https://www.ncbi.nlm.nih.gov/pubmed/36901988
http://dx.doi.org/10.3390/ijms24054557

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