• Ankita Choudhary
• Prof. Niti Shah

Now a days Ensemble classification has been a frequent topic of research, especially in bioinformatics and especially true for DNA microarray data experiment and large levels of noise inherent in data. DNA Microarray data is a high-dimensional data that enables the researchers to analyze the expression of many genes in a single reaction quickly and in an efficient manner. Microarray’s characteristic such as small sample size, class imbalance, and data complexity causes difficulty to classify the diseases. The information obtained from the analysis of DNA microarray data is relevant to identify and predict illness, improve treatment and determine which genes are responsible to provoke a specific disease. This research aims to improve the accuracy of the classification algorithm by working on implementing an efficient Algorithm using Ensemble Classification for classifying the type of diseases using DNA microarrays data.

DNA microarray, Principal Component Analysis, Feature Selection, Classification Technique, ANN

"Advanced Approach for Classifying DNA Microarray Data using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.350-354, June 2019, Available :http://www.jetir.org/papers/JETIR1908055.pdf

"Advanced Approach for Classifying DNA Microarray Data using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp350-354, June 2019, Available at : http://www.jetir.org/papers/JETIR1908055.pdf