Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach

The application of deep learning for taxonomic categorization of DNA sequences is investigated in this study. Two deep learning architectures, namely the Stacked Convolutional Autoencoder (SCAE) with Multilabel Extreme Learning Machine (MLELM) and the Variational Convolutional Autoencoder (VCAE) wit...

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Detalles Bibliográficos
Autores principales: Hossain, Prommy Sultana, Kim, Kyungsup, Uddin, Jia, Samad, Md Abdus, Choi, Kwonhue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669241/
https://www.ncbi.nlm.nih.gov/pubmed/38002417
http://dx.doi.org/10.3390/bioengineering10111293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669241/
https://www.ncbi.nlm.nih.gov/pubmed/38002417
http://dx.doi.org/10.3390/bioengineering10111293

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