A Novel Approach to Predict Cancer by Ensembling of Kernel Based Dimension Reduction and Classifier Using DNA Microarrays

DNA Micro arrays allow the parallel monitoring of thousands of expression levels of genes simultaneously. The secret behind of this technology is the fact that DNA nucleotide bases will hybridize to certain other nucleotide bases. With the help of DNA Micro arrays we can predict Human cancer considering the genes expression levels across a collection of sample. In this paper we introduce ensemble approach to classification method which included Dimension Reduction. For Dimension Reduction we use Supervised Locally Linear Embedding and for Classification uses Support Vector Machine.