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
• Subjects: T Technology (General); T173.2-174.5 Technological change
• Online Access: http://eprints.uthm.edu.my/5262/1/AJ%202020%20%28129%29.pdf; http://eprints.uthm.edu.my/5262/; https://doi.org/10.1016/j.eswa.2019.113169
• Institution: Universiti Tun Hussein Onn 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...