Effect of training datasets on support vector machine prediction of protein-protein interactions

• Main Authors: LO, Siaw Ling, CAI, Cong Zhong, CHUNG, Maxey, CHEN, Yu Zong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: Database of interacting proteins; Protein function prediction; Protein-protein interaction prediction; Shuffled sequence; Support vector machine; SVMlight; Computer Engineering; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4874; https://ink.library.smu.edu.sg/context/sis_research/article/5877/viewcontent/Effect___PV.pdf
• Institution: Singapore Management University

Knowledge of protein-protein interaction is useful for elucidating protein function via the concept of 'guilt-by-association'. A statistical learning method, Support Vector Machine (SVM), has recently been explored for the prediction of protein-protein interactions using artificial shuffle...