Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction

BACKGROUND: MicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular biology nowadays. However, characterizing miRNAs in vivo is still...

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Enregistré dans:
Détails bibliographiques
Publié dans:BMC Bioinformatics
Auteurs principaux: Marques, Yuri Bento, de Paiva Oliveira, Alcione, Ribeiro Vasconcelos, Ana Tereza, Cerqueira, Fabio Ribeiro
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2016
Sujets:
Research
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5249014/
https://ncbi.nlm.nih.gov/pubmed/28105918
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1343-8
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