Solving the problem of imbalanced dataset in the prediction of membrane protein types based on weighted SVM

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

Volumn 39, Issue 10, 2005, Pages

  Liu, Guo Ping ^a   Yao, Li Xiu ^a   Yang, Jie ^a   Wang, Meng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Bioinformatics; Imbalance sample; Membrane protein prediction; Support vector machine (SVM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FORECASTING; MEMBRANES; RADIAL BASIS FUNCTION NETWORKS;

BIOINFORMATICS; IMBALANCE SAMPLE; IMBALANCED DATASET PROBLEM; INDEPENDENT DATASET TEST; JACKKNIFE TEST; LARGE SIZE TRAINING SET; MEMBRANE PROTEIN PREDICTION; SELF CONSISTENCY TEST; SUPPORT VECTOR MACHINE (SVM);

PROTEINS;

EID: 30044442775     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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