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Feature selection for gene prediction in metagenomic fragments

BACKGROUND: Computational approaches, specifically machine-learning techniques, play an important role in many metagenomic analysis algorithms, such as gene prediction. Due to the large feature space, current de novo gene prediction algorithms use different combinations of classification algorithms...

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Detalles Bibliográficos
Autores principales: Al-Ajlan, Amani, El Allali, Achraf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047368/
https://www.ncbi.nlm.nih.gov/pubmed/30026811
http://dx.doi.org/10.1186/s13040-018-0170-z