Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network

Recurrent neural networks with memory and attention mechanisms are widely used in natural language processing because they can capture short and long term sequential information for diverse tasks. We propose an integrated deep learning model for microbial DNA sequence data, which exploits convolutio...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Zhengqiao, Woloszynek, Stephen, Agbavor, Felix, Mell, Joshua Chang, Sokhansanj, Bahrad A., Rosen, Gail L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496832/
https://www.ncbi.nlm.nih.gov/pubmed/34550967
http://dx.doi.org/10.1371/journal.pcbi.1009345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496832/
https://www.ncbi.nlm.nih.gov/pubmed/34550967
http://dx.doi.org/10.1371/journal.pcbi.1009345

Ejemplares similares