Regularized least squares cancer classifiers from DNA microarray data

BMC Bioinformatics

Volumn 6, Issue SUPPL.4, 2005, Pages

  Ancona, Nicola ^a   Maglietta, Rosalia ^a   D'Addabbo, Annarita ^a   Liuni, Sabino ^b   Pesole, Graziano ^b,c  

^a INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER CLASSIFICATION; GENE EXPRESSION DATA; GENE EXPRESSION LEVELS; GENERALIZATION ABILITY; LOW COMPUTATIONAL COMPLEXITY; MATHEMATICAL METHOD; REGULARIZATION THEORY; REGULARIZED LEAST SQUARES;

BIOASSAY; BIOCHIPS; DISEASES; GENE EXPRESSION; LINEAR SYSTEMS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

ARTICLE; BIOINFORMATICS; CANCER CLASSIFICATION; CLASSIFICATION ALGORITHM; DNA MICROARRAY; GENE EXPRESSION; INTERMETHOD COMPARISON; MACHINE LEARNING; MATHEMATICAL COMPUTING; PREDICTION; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; STATISTICAL MODEL; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; NEOPLASM; NONLINEAR SYSTEM; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, GENETIC; MODELS, STATISTICAL; NEOPLASMS; NONLINEAR DYNAMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SOFTWARE;

EID: 33947401087     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-6-S4-S2     Document Type: Article

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