HPV RISK CLASSIFICATION USING KERNEL BASED LEARNING

摘要

The present invention includes that, classifying the protein sequence of the protein sequence, and more particularly to a group of low-risk group of high-risk HPV types defined according to risk group classification of HPV and; Generating learning data by using a Hidden Markov model and the maximum area classification; The step of learning a learning data input to the generated string to the kernel-based S V M (Support Vector Machines) of the; Relates to the new data to the risk group classification of the HPV type in the S V M having the step of determining the high-risk or low-risk whether the new data.