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Informative MicroRNA Expression Patterns for Cancer Classification

  • Yun Zheng
  • Chee Keong Kwoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3916)

Abstract

Some non-coding small RNAs, known as microRNAs (miRNAs), have been shown to play important roles in gene regulation and various biological processes. The abnormal expression of some specific miRNA genes often results in the development of cancer. In this paper, we find discriminatory miRNA patterns for cancer classification from miRNA expression profiles. The experimental results show that the expression patterns from a small set of miRNAs are very accurate in prediction. Further, the experimental results also suggest that the expression patterns of these informative miRNAs are conserved in different vertebrates during the evolution process.

Keywords

Mutual Information miRNA Expression miRNA Gene Probabilistic Neural Network Class Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yun Zheng
    • 1
  • Chee Keong Kwoh
    • 1
  1. 1.Bioinformatics Research Center, School of Computer EngineeringNanyang Technology UniveritySingapore

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