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Title |
Finding biomarker genes for Type 2 Diabetes Mellitus using chi-2 feature selection method and logistic regression supervised learning algorithm |
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Author |
Hala M Alshamlan |
| Citation |
Vol. 21 No. 2 pp. 9-13 |
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Abstract |
Type 2 diabetes mellitus (T2D) is a complex diabetes disease that is caused by high blood sugar, insulin resistance, and a relative lack of insulin. Many studies are trying to predict variant genes that causes this disease by using a sample disease model. In this paper we predict diabetic and normal persons by using fisher score feature selection, chi-2 feature selection and Logistic Regression supervised learning algorithm with best accuracy of 90.23%. |
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Keywords |
single nucleotide polymorphisms (SNP), Type 2 diabetes (T2D), support vector machine (SVM), cross-validation test |
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