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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:BMC Bioinformatics
Päätekijät: Marques, Yuri Bento, de Paiva Oliveira, Alcione, Ribeiro Vasconcelos, Ana Tereza, Cerqueira, Fabio Ribeiro
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2016
Aiheet:
Research
Linkit: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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