Neural networks approaches for discovering the learnable correlation between gene function and gene expression in mouse

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3168-3175

  Andrews, Emad A M ^a   Morris, Quaid ^a   Bonner, Anthony J ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Gene expression; Gene function prediction; Multilayer perceptrons (MLP); Neural networks; Self organizing maps (SOM)

Indexed keywords

BIOACTIVITY; CLUSTERING ALGORITHMS; FLOW OF SOLIDS; FORECASTING; GENE EXPRESSION; MICROORGANISMS; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; PROBABILITY DENSITY FUNCTION; SELF ORGANIZING MAPS; VEGETATION;

APPLICATIONS.; GENE EXPRESSION DATUMS; GENE FUNCTION PREDICTION; GENE FUNCTIONS; MULTILAYER PERCEPTRONS (MLP); NETWORK PREDICTIONS; NEURAL NETWORK (NN); NOVEL CLUSTERING; SELF ORGANIZING MAPS (SOM); SIMPLE STRUCTURES; TRAINING TECHNIQUES;

NEURAL NETWORKS;

ACCURACY; ANALYTICAL ERROR; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; CLASSIFIER; CLUSTER ANALYSIS; CONFERENCE PAPER; CORRELATION ANALYSIS; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; INTERMETHOD COMPARISON; LEARNING ALGORITHM; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 56549091193     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.04.035     Document Type: Conference Paper

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