Genomic object detection: An improved approach for transposable elements detection and classification using convolutional neural networks

Analysis of eukaryotic genomes requires the detection and classification of transposable elements (TEs), a crucial but complex and time-consuming task. To improve the performance of tools that accomplish these tasks, Machine Learning approaches (ML) that leverage computer resources, such as GPUs (Gr...

Descripción completa

Detalles Bibliográficos
Autores principales: Orozco-Arias, Simon, Lopez-Murillo, Luis Humberto, Piña, Johan S., Valencia-Castrillon, Estiven, Tabares-Soto, Reinel, Castillo-Ossa, Luis, Isaza, Gustavo, Guyot, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513252/
https://www.ncbi.nlm.nih.gov/pubmed/37733731
http://dx.doi.org/10.1371/journal.pone.0291925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513252/
https://www.ncbi.nlm.nih.gov/pubmed/37733731
http://dx.doi.org/10.1371/journal.pone.0291925

Ejemplares similares