Unsupervised Cancer Classification and Gene Marker Identification

Abstract

Microarray technology has significant impact on cancer research. It is utilized in cancer diagnosis by means of classification of tissue samples. When microarray datasets are organized as gene vs. sample, they are very helpful in the classification of different types of tissues and the identification of those genes whose expression levels are good diagnostic indicators. The microarrays where tissue samples represent cancerous (malignant) and non-cancerous (benign) cells, their classification results in a binary cancer classification.