Informative top-k class associative rule for cancer biomarker discovery on microarray data

• Main Authors: Ong, Huey Fang, Mustapha, Norwati, Hamdan, Hazlina, Rosli, Rozita, Mustapha, Aida
• Format: Article
• Language: English
• Published: Elsevier 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/89394/1/TOP.pdf; http://psasir.upm.edu.my/id/eprint/89394/; https://www.sciencedirect.com/science/article/pii/S0957417419308863
• Institution: Universiti Putra Malaysia

The discovery of reliable cancer biomarkers is crucial for accurate early detection and clinical diagnosis. One of the strategies is by identifying expression-based cancer biomarkers through integrative microarray data analysis. Microarray is a powerful high-throughput technology, which allows a gen...