Human exons and introns classification using pre-trained Resnet-50 and GoogleNet models and 13-layers CNN model
Background:: Examining functions and characteristics of DNA sequences is a highly challenging task. When it comes to the human genome, which is made up of exons and introns, this task is more challenging. Human exons and introns contain millions to billions of nucleotides, which contributes to the c...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2024-03-01
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| Series: | Journal of Genetic Engineering and Biotechnology |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S1687157X24000623 |
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