Microarray Gene Expression Extraction and Archiving Based on Local Spot Locations

Gene expression profiling and complementary DNA ( cDNA ) microarray analysis has enabled the measurement of thousands of genes in a single RNA sequence, Scientists use cDNA microarrays to measure the expression levels of large number of genes or to genotype multiple regions of a genome. cDNA microarray Image analysis aims to measure the intensity of each gene presented in the microarray, Move to introduction. In this paper, we present an enhanced algorithm to automate genome Gene expression profiling that is taken from microarray images. The algorithm uses multi-dimensional array based method by classifying genes into multi-dimensional array where each spot has its location in the array and each location in the array contains the gene expression level of that gene so further study, analysis and comparison of the two microarray samples can be conducted easily. The proposed algorithm is fully automated and gives fast result for the gene analysis.