title: Di-codon usage for classification of genes.
abstract: Genes are often classified into biologically related groups so that inferences on their functions can be made. This paper demonstrates that the di-codon usage is a useful feature for gene classification and gives better classification accuracy than the codon usage. Our experiments with different classifiers show that support vector machines performs better than other classifiers in classifying genes by using di-codon usage as features. The method is illustrated on 1841 HLA sequences which are classified into two major classes, HLA-I and HLA-II, and further classified into the subclasses of major classes. By using both codon and di-codon features, we show near perfect accuracies in the classification of HLA molecules into major classes and their sub-classes.
authors: BioInfomatics Institute, Singapore.
authors: Minh N
authors: MN
authors: Nguyen
authors: Jianmin
authors: J
authors: Ma
authors: Gary B
authors: GB
authors: Fogel
authors: Jagath C
authors: JC
authors: Rajapakse
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D003062:Codon / Q000235:genetics*; D008285:Major Histocompatibility Complex / Q000235:genetics*; D008969:Molecular Sequence Data; D005810:Multigene Family / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012689:Sequence Homology, Nucleic Acid
chemical_list: D003062:Codon