Recognition of Colorectal Carcinogenic Tissue with Gene Expression Analysis Using Bayesian Probability

摘要: According to the WHO research in 2008, colorectal cancer caused approximately 8% of all deaths worldwide. Only particular set genes is responsible for its occurrence. Their increased or decreased expression levels cause cells region not work properly, i.e. processes they are associated with disrupted. This aims unveil those and make a model which going determine whether one patient carcinogenic. We propose realistic modeling gene probability distribution use it calculate Bayesian posterior classification. developed new methodology obtaining best classification results. The profiling done by using DNA microarray technology. In this research, 24,526 were being monitored at carcinogenic healthy tissues equally. also used SVMs Binary Decision Trees resulted very satisfying correctness.