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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |