Weighted Top Score Pair Method for Gene Selection and Classification

Authors:
Huaien Luo;Yuliansa Sudibyo;Lance D. Miller;R. Krishna Karuturi
Affiliations:
Genome Institute of Singapore, Singapore;Nanyang Technological University, Singapore;Genome Institute of Singapore, Singapore;Genome Institute of Singapore, Singapore
Venue:
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Year:
2008

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Abstract

Gene selection and expression profiles classification are important for diagnosing the disease using microarray technology and revealing the underlying biological processes. This paper proposes a weighted top scoring pair (WTSP) method which is a generalization of the current top scoring pair (TSP) method. By considering the proportions of samples from different classes, the WTSP method aims to minimize the error or misclassification rate. Results from several experimental microarray data have shown the improved performance of classification using the WTSP method.