Analysis of cytokine release assay data using machine learning approaches

International Immunopharmacology

Volumn 22, Issue 2, 2014, Pages 465-479

  Xiong, Feiyu ^a   Janko, Marco ^a   Walker, Mindi ^b   Makropoulos, Dorie ^b   Weinstock, Daniel ^b   Kam, Moshe ^a   Hrebien, Leonid ^a  

^a Drexel University   (United States)

^b JANSSEN RESEARCH AND DEVELOPMENT   (Belgium)

Author keywords

Cytokine Release Syndrome; Machine learning; Monoclonal antibodies

Indexed keywords

CANAKINUMAB; EPRATUZUMAB; GALIXIMAB; GAMMA INTERFERON; INTERLEUKIN 10; INTERLEUKIN 12P70; INTERLEUKIN 17; INTERLEUKIN 18; INTERLEUKIN 1BETA; INTERLEUKIN 2; INTERLEUKIN 4; INTERLEUKIN 6; MEPOLIZUMAB; MONOCLONAL ANTIBODY CD28; PALIVIZUMAB; TOCILIZUMAB; TUMOR NECROSIS FACTOR ALPHA; CYTOKINE; MONOCLONAL ANTIBODY;

ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; CYTOKINE PRODUCTION; CYTOKINE RELEASE; CYTOKINE RELEASE SYNDROME; CYTOKINE RESPONSE; DECISION TREE CLASSIFICATION; ENZYME LINKED IMMUNOSORBENT ASSAY; HIERARCHICAL CLUSTER ANALYSIS; HUMAN; HUMAN TISSUE; IN VITRO STUDY; KAPPA MEANS CLUSTERING; LEARNING ALGORITHM; MACHINE LEARNING; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; ARTIFICIAL INTELLIGENCE; BIOASSAY; CLUSTER ANALYSIS; DECISION TREE; IMMUNOLOGY; SYNDROME;

ANTIBODIES, MONOCLONAL; ARTIFICIAL INTELLIGENCE; BIOLOGICAL ASSAY; CLUSTER ANALYSIS; CYTOKINES; DECISION TREES; HUMANS; PRINCIPAL COMPONENT ANALYSIS; SYNDROME;

EID: 84907816952     PISSN: 15675769     EISSN: 18781705     Source Type: Journal    
DOI: 10.1016/j.intimp.2014.07.024     Document Type: Article

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