Splice sites prediction of Human genome using AdaBoost
3rd IEEE EMBS International Conference on Biomedical and Health Informatics (IEEE BHI), Nevada, Amerika Birleşik Devletleri, 24 - 27 Şubat 2016, ss.300-303, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/bhi.2016.7455894
- Basıldığı Şehir: Nevada
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.300-303
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
With the rapid growth of huge amounts of DNA sequence, gene prediction has become a challenging problem in bioinformatics. Splice sites prediction plays a key role in identification of genes. Hence, development of new methods to improve the accuracy of the splice sites prediction has great significance. This paper introduces a new method for splice sites prediction by combining AdaBoost classifier with a modified nucleotide encoding method, namely DM2. This method has been applied to the (HSD)-D-3 dataset with repeated 10-fold cross validation. Experimental results show that this method improves accuracy of the splice sites prediction and performs better than the MM1-SVM, Reduced MM1-SVM, SVM-B, LVMM2 and DM-SVM.