DeLUCS: Deep learning for unsupervised clustering of DNA sequences

We present a novel Deep Learning method for the Unsupervised Clustering of DNA Sequences (DeLUCS) that does not require sequence alignment, sequence homology, or (taxonomic) identifiers. DeLUCS uses Frequency Chaos Game Representations (FCGR) of primary DNA sequences, and generates “mimic” sequence...

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Detalles Bibliográficos
Autores principales: Millán Arias, Pablo, Alipour, Fatemeh, Hill, Kathleen A., Kari, Lila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782307/
https://www.ncbi.nlm.nih.gov/pubmed/35061715
http://dx.doi.org/10.1371/journal.pone.0261531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782307/
https://www.ncbi.nlm.nih.gov/pubmed/35061715
http://dx.doi.org/10.1371/journal.pone.0261531

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