Analysis of Gene Expression Microarrays for Phenotype Classification
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
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The cancer state of a cell is characterized byalterations of important cellular processes such ascell proliferation, apoptosis, DNA-damage repair,etc. The expression of genes associated with cancerrelated pathways, therefore, may exhibit differencesbetween the normal and the cancerous states. Weexplore various means to find these differences. Weanalyze 6 different pathways (p53, Ras, Brca, DNAdamage repair, NF\kappab and \beta-catenin) and 4 differenttypes of cancer: colon, pancreas, prostate andkidney. Our results are found to be mostly consistentwith existing knowledge of the involvement of thesepathways in different cancers. Our analysisconstitutes proof of principle that it may be possibleto predict the involvement of a particular pathway incancer or other diseases by using gene expressiondata. Such method would be particularly useful forthe types of diseases where biology is poorlyunderstood.