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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...
Autores principales: | Millán Arias, Pablo, Alipour, Fatemeh, Hill, Kathleen A., Kari, Lila |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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