A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data
This paper presents a novel hybrid machine learning (ML)reduction approach to enhance cancer classification accuracy of microarray data based on two ML gene ranking techniques (T-test and Class Separability (CS)). The proposed approach is integrated with two ML classifiers; K-nearest neighbor (KNN) and support vector machine (SVM); for mining microarray… Read full abstract & cite →