Reverse engineering of gene regulatory networks using flexible neural tree models

Neurocomputing

Volumn 99, Issue , 2013, Pages 458-466

  Yang, Bin ^a   Chen, Yuehui ^b   Jiang, Mingyan ^a  

^a SHANDONG UNIVERSITY   (China)

^b UNIVERSITY OF JINAN   (China)

Author keywords

Flexible neural tree model; Gene regulatory network; Reverse engineering; Time series prediction

Indexed keywords

AKAIKE INFORMATION CRITERION; DATA SETS; DNA MICROARRAY TECHNOLOGY; FLEXIBLE NEURAL TREE MODEL; FLEXIBLE NEURAL TREES; GENE EXPRESSION DATA; GENE EXPRESSION LEVELS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; PREDICTION ACCURACY; REGULATORY ELEMENTS; TARGET GENES; TIME SERIES PREDICTION; TIME-SERIES DATA; VOTING STRATEGIES;

COMPUTER SIMULATION; FORECASTING; FORESTRY; GENE EXPRESSION; REVERSE ENGINEERING; STATISTICAL TESTS;

NEURAL NETWORKS;

ACCURACY; ARTICLE; BIOMEDICAL ENGINEERING; CELL CYCLE PHASE; CONTROLLED STUDY; DNA REPAIR; ESCHERICHIA COLI; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONHUMAN; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; TIME SERIES ANALYSIS; YEAST;

FORECASTS; GENETIC ENGINEERING; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 84867848934     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.07.015     Document Type: Article

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