Classification and diagnostic output prediction of cancer using gene expression profiling and supervised machine learning algorithms

Journal of Chemical Engineering of Japan

Volumn 41, Issue 9, 2008, Pages 898-914

  Yoo, Chang Kyoo ^a   Gernaey, Krist V ^b  

^a Kyung Hee University   (South Korea)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Bioinformatics; Cancer classification; Data mining; Gene expression profiling; Supervised clustering

Indexed keywords

BIOACTIVITY; BIOINFORMATICS; COMPUTER AIDED DIAGNOSIS; CURVE FITTING; DATA ACQUISITION; DECISION SUPPORT SYSTEMS; FLOW OF SOLIDS; FORECASTING; GENE EXPRESSION; GENES; INFORMATION MANAGEMENT; LEARNING SYSTEMS; ROBOT LEARNING;

CANCER CLASSIFICATION; CLASS LABELS; CLASSIFICATION METHODS; COLON CANCERS; DATA SETS; DISCRIMINANT PARTIAL LEAST SQUARES; GENE EXPRESSION PROFILING; GENE GROUPS; GENE SELECTIONS; HIERARCHICAL CLUSTERING; HIERARCHICAL CLUSTERING METHODS; INFORMATIVE GENES; LEUKEMIA DATA SETS; MEDICAL TREATMENTS; MICROARRAY DATA SETS; MICROARRAY DATUMS; SUPERVISED CLUSTERING; SUPERVISED MACHINE LEARNINGS; UNSUPERVISED CLUSTERING;

LEARNING ALGORITHMS;

EID: 56649098919     PISSN: 00219592     EISSN: None     Source Type: Journal    
DOI: 10.1252/jcej.08we042     Document Type: Article

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