Investigating topic models' capabilities,in expression microarray data classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 6, 2012, Pages 1831-1836

  Bicego, Manuele ^a   Lovato, Pietro ^a   Perina, Alessandro ^b   Fasoli, Marianna ^a   Delledonne, Massimo ^a   Pezzotti, Mario ^a   Polverari, Annalisa ^a   Murino, Vittorio ^c  

^a UNIVERSITY OF VERONA   (Italy)

^b MICROSOFT RESEARCH   (United States)

^c ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Expression microarray; Hybrid generative discriminative approaches; Topic models

Indexed keywords

CLASSIFICATION SCHEME; CLASSIFICATION TASKS; DISCRIMINATIVE APPROACH; EXPERIMENTAL EVALUATION; EXPRESSION MICROARRAY; MICROARRAY DATA; TOPIC MODEL;

BIOTECHNOLOGY; GENETIC ENGINEERING;

CLASSIFICATION (OF INFORMATION);

ARTICLE; BAYES THEOREM; BIOLOGY; DATA MINING; FACTUAL DATABASE; METHODOLOGY; MICROARRAY ANALYSIS; SEMANTICS; STATISTICAL MODEL;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, FACTUAL; MICROARRAY ANALYSIS; MODELS, STATISTICAL; SEMANTICS;

EID: 84875203429     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2012.121     Document Type: Article

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