RAFTS(3)G: an efficient and versatile clustering software to analyses in large protein datasets

BACKGROUND: Clustering methods are essential to partitioning biological samples being useful to minimize the information complexity in large datasets. Tools in this context usually generates data with greed algorithms that solves some Data Mining difficulties which can degrade biological relevant in...

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發表在:BMC Bioinformatics
Main Authors: de Lima Nichio, Bruno Thiago, de Oliveira, Aryel Marlus Repula, de Pierri, Camilla Reginatto, Santos, Leticia Graziela Costa, Lejambre, Alexandre Quadros, Vialle, Ricardo Assunção, da Rocha Coimbra, Nilson Antônio, Guizelini, Dieval, Marchaukoski, Jeroniza Nunes, de Oliveira Pedrosa, Fabio, Raittz, Roberto Tadeu
格式: Artigo
語言:Inglês
出版: BioMed Central 2019
主題:
Software
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6631606/
https://ncbi.nlm.nih.gov/pubmed/31307371
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2973-4
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