Hybrid SPR algorithm to select predictive genes for effectual cancer classification

作者：Sundaram Aruna^*; Venkata Nandakishore Lellapalli; Parthasarathy Rajagopalan Sarukai

来源：Turkish Journal of Electrical Engineering and Computer Sciences, 2013, 21: 2357-2366.

DOI：10.3906/elk-1203-138

• Cancer classification
• filters
• wrappers
• correlation feature selection
• sequential backward search
• support vector machines
• DNA microarray

Designing an automated system for classifying DNA microarray data is an extremely challenging problem because of its high dimension and low amount of sample data. In this paper, a hybrid statistical pattern recognition algorithm is proposed to reduce the dimensionality and select the predictive genes for the classification of cancer. Colon cancer gene expression profiles having 62 samples of 2000 genes were used for the experiment. A gene subset of 6 highly informative genes was selected by the algorithm, which provided a classification accuracy of 93.5%.

• 出版日期2013