Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review

SIMPLE SUMMARY: The rapidly advancing field of deep learning, specifically transformer-based architectures and attention mechanisms, has found substantial applicability in bioinformatics and genome data analysis. Given the analogous nature of genome sequences to language texts, these techniques init...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Sanghyuk Roy, Lee, Minhyeok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376273/
https://www.ncbi.nlm.nih.gov/pubmed/37508462
http://dx.doi.org/10.3390/biology12071033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376273/
https://www.ncbi.nlm.nih.gov/pubmed/37508462
http://dx.doi.org/10.3390/biology12071033

Ejemplares similares