New Feature Selection Process to Enhance Naïve Bayes Classification project concentrates on improving the classification accuracy of cancer cells using gene microarray as features for various cancer data sets using Machine learning classifiers , along with point wise mutual information (PMIGS) as feature selection technique.

ATAC-seq and ATAC-array analysis