Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networks

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 1718-1726

  Ao, S I ^a   Palade, V ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Classifier ensembles; Elman neural network; Gene regulatory network; Reverse engineering; Support vector machines

Indexed keywords

CLASSIFIER ENSEMBLES; CONTINUOUS TIME; DATA SETS; ELMAN NEURAL NETWORK; ENSEMBLE SYSTEMS; GENE REGULATORY NETWORK; GENE REGULATORY NETWORKS; INDIVIDUAL MODELS; NETWORK INFERENCE; NONSTATIONARY; PEARSON CORRELATION; PREDICTION ACCURACY; RULE EXTRACTION; STEP TEST; SUPPORT VECTOR; SVM MODEL; TEMPORAL MODELING;

CLASSIFIERS; CORRELATION METHODS; GENE EXPRESSION; RECURRENT NEURAL NETWORKS; REVERSE ENGINEERING; TEACHING; TIME SERIES; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 78751633682     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.05.014     Document Type: Conference Paper

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