Volume 1 Number 5 (Aug. 2006)
Home > Archive > 2006 > Volume 1 Number 5 (Aug. 2006) >
JCP 2006 Vol.1(5): 30-39 ISSN: 1796-203X
doi: 10.4304/jcp.1.5.30-39

Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach

Yun Zheng, Chee Keong Kwoh
1Bioinformatics Research Center, School of Computer Engineering Nanyang Technological Univerity, Singapore 639798

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 with an information theory approach. Our approach evaluates subset of miRNAs by checking the mutual information between these miRNAs and the class attribute I(X; Y ) with respect to the entropy of the class attribute H(Y ). Then, optimal subset of miRNAs that satisfies I(X; Y ) = H(Y ) or H(Y ) − I(X; Y ) ≤  × H(Y ) for noisy data sets are chosen to build the classification models. 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.

Index Terms—microRNAs, gene expression patterns, cancer classification, feature selection

[PDF]

Cite: Yun Zheng, Chee Keong Kwoh, "Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach," Journal of Computers vol. 1, no.5, pp. 30-39 , 2006.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Sep 16, 2019 News!

    Vol 14, No 9 has been published with online version   [Click]

  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Jul 19, 2019 News!

    Vol 14, No 7 has been published with online version   [Click]

  • Jun 21, 2019 News!

    Vol 14, No 6 has been published with online version   [Click]

  • Apr 28, 2019 News!

    Vol 14, No 5 has been published with online version 7 papers are published in this issue after peer review   [Click]

  • Read more>>