Cancer detection using biclustering

The extraction and identification of gene groups with similar expression pattern, plays an important role in the analysis of genes. Clustering and biclustering methods are the primary techniques involved in analyzing gene expresion data which include grouping of genes, classification of genes and classification of a sample. Apart from classical clustering methods, biclustering is being preferred to analyse biological datasets, due to its ability to group both genes across conditions simultaneously. In this paper the spot is discovered by us in a breast where a tumor will be detected. Furthermore, the probability of the tumor to identify its type is also taken by us i.e. benign, suspicious or malignant.