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Quantitative Analysis of Ras Oncogene Isoforms Using Decision Tree and Support Vector Machine

Sin Hye Hwang, Su Jin Jang, Dong Won Lee, and Taeseon Yoon
Department of Natural Science, Hankuk Academy of Foreign Studies, Yong-In, South Korea
Abstract—Ras isoform plays a significant functional role in cell growth, cell cycle progression, cytoskeletal changes, apoptosis, and senescence. Mutated Ras gene causes cell proliferation. These genes are found in various kinds of cancer, thus it has been considered that mutated Ras is oncogenic. Ras oncogenes have three isoforms, which are KRas, N-Ras and H-Ras. For three decades, there has been active research on Ras gene, but quantitative analysis on each isoform is unknown. For the research, our goal is to compare and contrast each Ras isoform for deeper understanding. We seek for any possibilities of relations between the results and functional role of each isoform by using two types of data-mining technologies; Decision tree and Support Vector Machine. The results show that all three Ras isoforms are fairly alike, especially in the case of K-Ras and N-Ras. Decision tree shows that position 2, 3, 9, 10 act as significant parts in each Ras Isoform. We want to point out that this is the first time to conduct quantitative classification of Ras Isoforms.

Index Terms—ras isoform, K-Ras, N-Ras, H-Ras, cancer, mutated gene, oncogene, bioinformatics, data mining, decision tree, Support Vector Machine (SVM)

Cite: Sin Hye Hwang, Su Jin Jang, Dong Won Lee, and Taeseon Yoon, " Quantitative Analysis of Ras Oncogene Isoforms Using Decision Tree and Support Vector Machine" International Journal of Pharma Medicine and Biological Sciences, Vol. 4, No. 2, pp. 136-140, April 2015.
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