Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions

Computational Biology and Chemistry

Volumn 36, Issue , 2012, Pages 36-41

  Zhang, Yongqing ^a   Zhang, Danling ^a   Mi, Gang ^a   Ma, Daichuan ^a   Li, Gongbing ^a   Guo, Yanzhi ^a   Li, Menglong ^a   Zhu, Min ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Ensemble methods; Imbalanced data; Protein protein interaction

Indexed keywords

CROSS VALIDATION; DATA SETS; ENSEMBLE CLASSIFIERS; ENSEMBLE METHODS; FUSION CLASSIFIERS; IMBALANCED DATA; PREDICTION MODEL; PROTEIN-PROTEIN INTERACTIONS; RECEIVER OPERATING CHARACTERISTIC CURVES; UNDER-SAMPLING;

DATA PROCESSING; FORECASTING; MATHEMATICAL MODELS;

PROTEINS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; HUMAN; PROTEIN ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE;

HUMANS; NEURAL NETWORKS (COMPUTER); PROTEIN INTERACTION MAPPING; ROC CURVE; SUPPORT VECTOR MACHINES;

EID: 84862786552     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2011.12.003     Document Type: Article

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