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