title: MiRANN: a reliable approach for improved classification of precursor microRNA using Artificial Neural Network model.
abstract: MicroRNA (miRNA) is a special class of short noncoding RNA that serves pivotal function of regulating gene expression. The computational prediction of new miRNA candidates involves various methods such as learning methods and methods using expression data. This article has proposed a reliable model - miRANN which is a supervised machine learning approach. MiRANN used known pre-miRNAs as positive set and a novel negative set from human CDS regions. The number of known miRNAs is now huge and diversified that could cover almost all characteristics of unknown miRNAs which increases the quality of the result (99.9% accuracy, 99.8% sensitivity, 100% specificity) and provides a more reliable prediction. MiRANN performs better than other state-of-the-art approaches and declares to be the most potential tool to predict novel miRNAs. We have also tested our result using a previous negative set. MiRANN, opens new ground using ANN for predicting pre-miRNAs with a promise of better performance.
authors.affiliation: Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh. eamin_sust@yahoo.com
authors.forename: Md Eamin
authors.initials: ME
authors.lastname: Rahman
authors.forename: Rashedul
authors.initials: R
authors.lastname: Islam
authors.forename: Shahidul
authors.initials: S
authors.lastname: Islam
authors.forename: Shakhinur Islam
authors.initials: SI
authors.lastname: Mondal
authors.forename: Md Ruhul
authors.initials: MR
authors.lastname: Amin
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D005786:Gene Expression Regulation; D006801:Humans; D035683:MicroRNAs / Q000145:classification* / Q000235:genetics* / Q000378:metabolism; D016571:Neural Networks, Computer; D012322:RNA Precursors / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods
chemical_list: D035683:MicroRNAs; D012322:RNA Precursors