On the statistical assessment of classifiers using DNA microarray data

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Ancona, N ^a   Maglietta, R ^a   Piepoli, A ^b   D'Addabbo, A ^a   Cotugno, R ^b   Savino, M ^b   Liuni, Sabino ^d   Carella, M ^b   Pesole, Graziano ^c,d   Perri, F ^b  

^a INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

^b CASA SOLLIEVO DELLA SOFFERENZA HOSPITAL   (Italy)

^c UNIVERSITY OF BARI   (Italy)

^d CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SCHEME; CROSS VALIDATION ERRORS; DIAGNOSIS AND PROGNOSIS; GENE EXPRESSION PROFILES; MICROARRAY GENE EXPRESSION DATA; REGULARIZED LEAST SQUARES; STATISTICAL ASSESSMENT; STATISTICAL SIGNIFICANCE;

DIAGNOSIS; GENE EXPRESSION; PATHOLOGY; STATISTICS; SUPPORT VECTOR MACHINES; TUMORS;

DISEASES;

COMPLEMENTARY DNA; RNA;

ADULT; AGED; ANALYTICAL ERROR; ARTICLE; CANCER CLASSIFICATION; CARCINOGENESIS; CLINICAL ARTICLE; COLON CANCER; COLORECTAL CANCER; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA COLLECTION METHOD; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DNA MICROARRAY; FEMALE; GENE EXPRESSION SYSTEM; GENE FREQUENCY; GENE NUMBER; GENE SEQUENCE; GENETIC ALGORITHM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; MALE; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; PREDICTION; PROGNOSIS; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; UNINDEXED SEQUENCE; VALIDATION PROCESS; ALGORITHM; CLASSIFICATION; COLON TUMOR; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; MATHEMATICAL COMPUTING; MIDDLE AGED; PROCEDURES; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

DELLA;

AGED; ALGORITHMS; COLONIC NEOPLASMS; DATA INTERPRETATION, STATISTICAL; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE; STATISTICS AS TOPIC;

EID: 33748684439     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-387     Document Type: Article

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