A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2014, Vol 3, Issue 10
Abstract
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; Knearest neighbor (KNN) and support vector machine (SVM); for mining microarray gene expression profiles. Four public cancer microarray databases are used for evaluating the proposed approach and successfully accomplish the mining process. These are Lymphoma, Leukemia SRBCT, and Lung Cancer. The strategy to select genes only from the training samples and totally excluding the testing samples from the classifier building process is utilized for more accurate and validated results. Also, the computational experiments are illustrated in details and comprehensively presented with literature related results. The results showed that the proposed reduction approach reached promising results of the number of genes supplemented to the classifiers as well as the classification accuracy.
Authors and Affiliations
Abeer Mahmoud, Basma A. Maher
Keywords
Related Articles
- EP ID EP88886
- DOI 10.14569/IJARAI.2014.031001
- Views 138
- Downloads 0
A Model for Facial Emotion Inference Based on Planar Dynamic Emotional Surfaces
Emotions have direct influence on the human life and are of great importance in relationships and in the way interactions between individuals develop. Because of this, they are also important for the development of...
Integral Lqr-Based 6dof Autonomous Quadrocopter Balancing System Control
This paper presents an LQR-Based 6DOF control of an unmanned aerial vehicles (UAV), namely a small-scale quadrocopter. Due to its high nonlinearity and a high degree of coupling system, the control of an UAV is ver...
COMPARISON AMONG CROSS, ONBOARD AND VICARIOUS CALIBRATIONS FOR TERRA/ASTER/VNIR
Comparative study on radiometric calibration methods among onboard, cross and vicarious calibration for visible to near infrared radiometers onboard satellites is conducted. The data sources of the aforementioned t...
Proposal of Tabu Search Algorithm Based on Cuckoo Search
This paper presents a new version of Tabu Search (TS) based on Cuckoo Search (CS) called (Tabu-Cuckoo Search TCS) to reduce the effect of the TS problems. The proposed algorithm provides a more diversity to candida...