Cancer prediction with gene expression data

Abstract

With continuous growth in technology and quantum of data, many data mining algorithms are developed that uses micro array data to classify the genes and expressions in normal and disease conditions. There are many clustering algorithms that help to classify the genes and there is conflict in large pool of genes and their expression characters. The proposed system takes the input from multiple sources produces associate storage, cluster the information and classify it.