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Document Classification Of Protein Sequences, Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman
Document Classification Of Protein Sequences, Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman
Jaime G. Carbonell
The need for accurate, automated protein classification methods continues to increase as advances in biotechnology uncovers new proteins at a fast rate. G-protein coupled receptors (GPCRs) are a particularly difficult superfamily of proteins to classify due to the extreme diversity among its members; yet, they are an important subject in pharmacological research being the target of approximately 60% of current drugs (Muller, 2000). A comparison of BLAST, k-NN, HMM and SVM with alignment-based features by Karchin et al. (2002) has suggested that classifiers at the complexity of SVM are needed to attain high accuracy in GPCR subfamily classification. Here, analogous …