Hierarchical Multi-label Associative Classification for Protein Function Prediction Using Gene Ontology

• Main Authors: Sawinee Sangsuriyun, Thanawin Rakthanmanon, Kitsana Waiyamai
• Language: English
• Published: Science Faculty of Chiang Mai University 2019
• Subjects: protein function prediction; associative classification; hierarchical classification; multi-label classification; negative rules
• Online Access: http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9788; http://cmuir.cmu.ac.th/jspui/handle/6653943832/66000
• Institution: Chiang Mai University

In this paper, protein function prediction is considered as a complex hierarchical multi-label classification problem. Each instance can be classified into several classes and these are organized in a hierarchical structure where each class has a parent-child relationship with one another. eHMAC is...