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

被引:0
作者
Yuri Bento Marques
Alcione de Paiva Oliveira
Ana Tereza Ribeiro Vasconcelos
Fabio Ribeiro Cerqueira
机构
[1] Universidade Federal de Viçosa,Department of Informatics
[2] Rua Mocambi,Instituto Federal do Norte de Minas
[3] University of Sheffield,Department of Computer Science
[4] Rua Getúlio Vargas 333,Laboratório Nacional de Computação Científica
来源
BMC Bioinformatics | / 17卷
关键词
Pre-miRNA ab initio prediction; Random forest; Smote; microRNA; Machine learning; Data mining;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 124 条
[1]  
Ha M(2014)Regulation of microRNA biogenesis Nat Rev Mol Cell Biol 15 509-24
[2]  
Kim VN(2004)Human embryonic stem cells express a unique set of microRNAs Dev Biol 270 488-98
[3]  
Suh MR(2009)MicroRNA control of muscle development and disease Curr Opin Cell Biol 21 461-9
[4]  
Lee Y(2012)MicroRNA therapeutics for cardiovascular disease: Opportunities and obstacles Nat Rev Drug Discov 11 860-72
[5]  
Kim JY(2013)MicroRNA-205 controls neonatal expansion of skin stem cells by modulating the PI(3)K pathway Nat Cell biol 15 1153-63
[6]  
Kim SK(2006)MicroRNAs: Regulators of gene expression and cell differentiation Blood 108 3646-53
[7]  
Moon SH(2004)The functions of animal microRNAs Nature 431 350-5
[8]  
Lee JY(2004)A pancreatic islet-specific microRNA regulates insulin secretion Nature 432 226-30
[9]  
Cha KY(2013)MicroRNAs in adipose tissue: Their role in adipogenesis and obesity Int J Obes 37 325-32
[10]  
Chung HM(2013)Delivering the promise of miRNA cancer therapeutics Drug Discov Today 18 282-9