Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 10, Issue 3, 2013, Pages 593-604

  Liu, Hsi Che ^a   Peng, Pei Chen ^b   Hsieh, Tzung Chien ^a   Yeh, Ting Chi ^b   Lin, Chih Jen ^b   Chen, Chien Yu ^b   Hou, Jen Yin ^a   Shih, Lee Yung ^c,d   Liang, Der Cherng ^a  

^a MACKAY MEMORIAL HOSPITAL   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

^d CHANG GUNG UNIVERSITY   (Taiwan)

Author keywords

cancer; cross laboratory experiment; feature selection; Microarray data analysis

Indexed keywords

DECISION TREES; DISEASES; GENE EXPRESSION; LABORATORIES; MICROARRAYS; STATISTICAL TESTS;

ACUTE LYMPHOBLASTIC LEUKEMIA; CANCER; CLASSIFICATION PERFORMANCE; COMPREHENSIVE COMPARISONS; FEATURE SELECTION METHODS; LABORATORY EXPERIMENTS; MICROARRAY DATA ANALYSIS; SIGNIFICANCE ANALYSIS OF MICROARRAYS;

FEATURE EXTRACTION;

DNA MICROARRAY; FACTUAL DATABASE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METABOLISM; NEOPLASM; PROCEDURES; STATISTICAL MODEL;

DATABASES, FACTUAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 84908347124     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2013.70     Document Type: Article

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