Classification of the microarray data using neural networks

• Main Author: Ma April Maung
• Other Authors: Saratchandran, Paramasivan
• Format: Theses and Dissertations
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics; DRNTU::Engineering::Computer science and engineering::Computing methodologies
• Online Access: http://hdl.handle.net/10356/4847
• Institution: Nanyang Technological University

The diversity of the application areas of neural network is a recommendation of the strengths and flexibility of neural networks. There are many application areas for neural networks like aerospace, automotive, electronics, entertainment, food industry, insurance, marketing, manufacturing, medical, speech and telecommunications. Among them we only concentrate in medical application areas. We want to test the patients to find out the diseases. So we need to use the neural network and classify with using neural network algorithms. Among many algorithms, we choose the backpropagation and extreme learning machine algorithms to classify the best network architecture. We use the DNA microarray database for simulation. We considered three problems: MLL_Leukemia, Prostate Cancer and Central Nervous System.