Cancer identification based on DNA microarray data

Authors:
Yihui Liu
Affiliations:
School of Computer Science and Information Technology, Shandong Institute of Light Industry, Jinan, Shandong, China
Venue:
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Year:
2007

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Abstract

In this study we perform wavelet transform on the analysis of DNA microarray data. A set of wavelet features is used to measure the change of gene expression profile. Then wavelet features are input to support vector machine (SVM) to classify DNA microarray data into different diagnostic classes. Experiments are carried out on six datasets of microarray data. On a wide range of data sets, our method displays a highly competitive accuracy in comparison to the best performance of other kinds of classification models.