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Journals and Conferences
Microarray experiments generate quantitative expression measurements for thousands of genes simultaneously, which is useful for phenotype classification of many diseases. Our proposed phenotype classifier is an ensemble method with k-topscoring decision rules. Each rule involves a number of genes, a rank comparison relation among them, and a class label.… (More)
The ability to provide thousands of gene expression values simultaneously makes microarray data very useful for phenotype classification. A major constraint in phenotype classification is that the number of genes greatly exceeds the number of samples. We overcame this constraint in two ways; we increased the number of samples by integrating independently… (More)
The modified TNM classification of cancers in oral cavity, pharynx, larynx, maxillary sinuses was described. This classification was introduced in 1987 in agreement with UICC and AJCC. The criteria of classification were discussed.