‘Gene Micro Array Content Extraction’ An Application Approach Using LFDA, SVM, and Cluster Classification

Today’s world thrives with data and hence it is necessary to mine the available data, in order to arrive at effective knowledge patterns. Data mining is concerned with extracting knowledge from the available data and so gained knowledge is applied over the processes such as decision making, query processing, and management and so on. The DNA microarray technology enables the biologists to observe the expressions of multiple thousands of genes in parallel fashion. However, processing and gaining knowledge from the voluminous microarray gene data is serious issue. It is necessary for the biologists to retrieve the required data in a reasonable time. The microarray technology enables the researchers to feature reduction of genes using FDA, Gene classification (SVM) and formation of gene clusters within the gene class. Keyword FDA, C Means clustering, SVM and Micro Array