Machine Learning Methods in Predicting Down Syndrome

Part causes down syndrome or all the third copy of chromosome 21, has been discovered for over a hundred years. Although many studies have been carried in this field to find out how to cure the patients or animals, no researchers can fully treat this disease. Thus, this research manages to analyze the expression level of the proteins encoded by the genes in mice with down syndrome by using the binary logistic regression method. The consequence shows that two significant proteins are affected most -- ITSN1_N and BRAF_N. Behind this, the predicted data are carried by 10-folds cross-validation, then find out the result has high accuracy. Moreover, the data are randomly divided into 20%, 40%, 60%, and 80% to test the relationship between data quantity and accuracy, and it shows that the more data amount, the more precise it can be.