Supervised learning methods in modeling of CD4+ T cell heterogeneity

BioData Mining

Volumn 8, Issue 1, 2015, Pages 1-21

  Lu, Pinyi ^a   Abedi, Vida ^a   Mei, Yongguo ^a   Hontecillas, Raquel ^a   Hoops, Stefan ^a   Carbo, Adria ^b   Bassaganya Riera, Josep ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b BIOTHERAPEUTICS INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CD4+ T LYMPHOCYTE; CELL HETEROGENEITY; CELLULAR IMMUNITY; COMPUTER MODEL; COMPUTER PREDICTION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LINEAR REGRESSION ANALYSIS; LYMPHOCYTE DIFFERENTIATION; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; RANDOM FOREST; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; SYSTEM ANALYSIS; THEORETICAL MODEL;

EID: 84940666251     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/s13040-015-0060-6     Document Type: Article

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