Deep Learning Encoding for Rapid Sequence Identification on Microbiome Data

We present a novel approach for rapidly identifying sequences that leverages the representational power of Deep Learning techniques and is applied to the analysis of microbiome data. The method involves the creation of a latent sequence space, training a convolutional neural network to rapidly ident...

Descripción completa

Detalles Bibliográficos
Autores principales: Borgman, Jacob, Stark, Karen, Carson, Jeremy, Hauser, Loren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580936/
https://www.ncbi.nlm.nih.gov/pubmed/36304316
http://dx.doi.org/10.3389/fbinf.2022.871256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580936/
https://www.ncbi.nlm.nih.gov/pubmed/36304316
http://dx.doi.org/10.3389/fbinf.2022.871256

Ejemplares similares