Chapter 16. Supervised Learning Methods for MicroRNA Studies

  1. Yan-Qing Zhang2 and
  2. Jagath C. Rajapakse3
  1. Byoung-Tak Zhang and
  2. Jin-Wu Nam

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch16

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Zhang, B.-T. and Nam, J.-W. (2008) Supervised Learning Methods for MicroRNA Studies, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch16

Editor Information

  1. 2

    Georgia State University, Atlanta, Georgia

  2. 3

    School of Computer Engineering, and The Bioinformatics Research Center, Nanyang Technological University, Nanyang, Singapore

Author Information

  1. Seoul National University, Seoul, Korea

Publication History

  1. Published Online: 21 APR 2008
  2. Published Print: 12 NOV 2008

Book Series:

  1. Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Professor Yi Pan and
  2. Professor Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470116623

Online ISBN: 9780470397428



  • supervised learning methods for micro RNA studies;
  • graphical models for miRNA analysis;
  • feature set for mature miRNA prediction using Bayesian network


This chapter contains sections titled:

  • Issues in Current miRNA Studies

  • Computational Methods for miRNAs Studies

  • Kernel Machines for miRNA Analysis

  • Graphical Models for miRNA Analysis

  • Evolutionary Algorithms for miRNA Analysis

  • Summary and Outlook

  • References