Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models

The data explosion driven by advancements in genomic research, such as high-throughput sequencing techniques, is constantly challenging conventional methods used in genomics. In parallel with the urgent demand for robust algorithms, deep learning has succeeded in various fields such as vision, speec...

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Detalles Bibliográficos
Autores principales: Yue, Tianwei, Wang, Yuanxin, Zhang, Longxiang, Gu, Chunming, Xue, Haoru, Wang, Wenping, Lyu, Qi, Dun, Yujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649223/
https://www.ncbi.nlm.nih.gov/pubmed/37958843
http://dx.doi.org/10.3390/ijms242115858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649223/
https://www.ncbi.nlm.nih.gov/pubmed/37958843
http://dx.doi.org/10.3390/ijms242115858

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