Incorporating artificial bee colony optimization in gene based ranking system in microarray data

The Microarray data consists of various gene expression profiles which are used to identify disease, but the huge dimensions make processing difficult. Assorted techniques like Artificial Bee colony reduce and its effective. level is recognize diseases help in their treatment. By identifying early onset this technique will be able arrest further progress control prognosis, a certain extent, through facilitating development appropriate medication using DNA datasets. leukaemia dataset obtained best accuracy at 81.667% with 35 genes trial 3. breast cancer has 70% 20 1, prostate 85% 2. Our proposed work focuses on selection affordable set for disease an acceptable from microarray that efficiently cancer-causing particular, or other disease-causing general, patients.