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Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human(More)
Diallyl disulfide (DADS), a sulfur compound from garlic has been shown to exert many biological effects: induction of carcinogen detoxication, inhibition of tumor cell proliferation, etc. These effects are consistent with its anticarcinogenic properties in animal models and could account for garlic protective effects in humans. Our study demonstrates that(More)
In the case of different diseases classification is an important aspect so that one can find the infected set efficiently. In this paper three different dataset named Leukemia, Lung Cancer and Prostate from the UCI machine learning repository are considered and apply efficient association based ant colony optimization for improving the classification(More)
In vivo pharmacokinetic and brain binding characteristics of [18F]RP 62203, a selective high-affinity serotonergic 5-HT2A receptor antagonist, were assessed in the rat following intravenous injection of trace amount of the radioligand. The radioactive distribution profile observed in the brain 60 min after injection was characterized by greater than(More)
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