The Investigating Of Differences Proteins Features Expressed In Malignant And Benign Breast Cancers
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تاریخ نمایه سازی: 29 شهریور 1394
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modeling were applied on datasets with/without feature selection modelings showed no changes. The depth of the trees induced by tree induction models varied from 5 (in the Quest model) to 2 (in the c5.0 model) branches. The best performance evaluation found when C&RT model applied and the worst evaluation found when CHAID model applied. No significant difference in the percentage of correctness, performance evaluation, and mean correctness in tree induction algorithms found when feature selection applied on datasets, but the number of peer groups reduced significantly (p<0.05) when feature selection model applied. The frequency of Ile - Ile was the most important protein attributes in all tree and rule induction models. The importance of sequence-based classification and the frequency of Ile - Ile in prediction of malignant and benign breast cancer have been discussed here.
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Member of Young Researcher Club, Islamic Azad University, Qom Branch, Qom, IRAN
Member of Young Researcher Club, Islamic Azad University, Qom Branch, Qom, IRAN
Department of Crop Production & Plant Breeding, College of Agriculture, Shiraz University, Shiraz,IRAN
Department of Informatics, Saarland University, ۶۶۱۲۳ Saarbrucken, Germany