A fuzzy intelligent approach to the classification problem in gene expression data analysis

Knowledge-Based Systems

Volumn 27, Issue , 2012, Pages 465-474

  Khashei, Mehdi ^a   Zeinal Hamadani, Ali ^a   Bijari, Mehdi ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks (ANNs); Classification; Discriminant analysis (DA); Fuzzy logic; Gene expression; K nearest neighbor (KNN); Pattern recognition; Support vector machines (SVMs)

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION POWER; CLASSIFICATION TECHNIQUE; COMPLEX PROBLEMS; DATA MINING TASKS; DATA SETS; EMPIRICAL RESULTS; FUZZY PARAMETER; GENE EXPRESSION CLASSIFICATION; GENE EXPRESSION DATA; GENE EXPRESSION DATA ANALYSIS; GENE EXPRESSION PATTERNS; HIGH DIMENSIONS; HYBRID CLASSIFIER; HYBRID MODEL; INCOMPLETE DATA; INTELLIGENT CLASSIFICATION; K-NEAREST NEIGHBOR (KNN); K-NEAREST NEIGHBORS; LINEAR DISCRIMINANT ANALYSIS; MICROARRAY ANALYSIS; QUADRATIC DISCRIMINANT ANALYSIS; REAL-WORLD APPLICATION; SMALL SAMPLES; SOFT COMPUTING TOOLS; SUPPORT VECTOR; TRAINING PROCESS; TRAINING SAMPLE;

CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; NEURAL NETWORKS; PATTERN RECOGNITION; PROBLEM SOLVING; SOFT COMPUTING; SUPPORT VECTOR MACHINES;

GENE EXPRESSION;

EID: 84855918144     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.10.012     Document Type: Article

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