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基于前馈人工神经网络的miRNA预测

林云光 陈月辉 邵光亭

计算机技术与发展2012,Vol.22Issue(5):19-22,4.
计算机技术与发展2012,Vol.22Issue(5):19-22,4.

基于前馈人工神经网络的miRNA预测

Prediction of miRNA Based on Feedforward Artificial Neural Network

林云光 1陈月辉 1邵光亭1

作者信息

  • 1. 济南大学信息科学与工程学院,山东济南250022
  • 折叠

摘要

Abstract

microRNA(miRNA} is a class of 20 -24 long nucleotides conserved non-coding small RNA. How to predict miRNA accurately is one of the difficulties in bioinformatics. A new predicting method has been proposed in this paper,that is,particle swarm optimized feedforward artificial neural network. Use 36 feature extracted from (he date set comprised of 331 samples to train the neural network model,which used to test new data-sets get a prediction accuracy up to 91.0% .This indicates that the model can be used as a new direction to predict miRNA.

关键词

microRNA/前馈人工神经网络/粒子群优化算法

Key words

microRNA/feedforward artificial neural network/particle swarm optimization

分类

信息技术与安全科学

引用本文复制引用

林云光,陈月辉,邵光亭..基于前馈人工神经网络的miRNA预测[J].计算机技术与发展,2012,22(5):19-22,4.

基金项目

国家自然科学基金(61070130) (61070130)

计算机技术与发展

OACSTPCD

1673-629X

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