Predicting biomaterial property-dendritic cell phenotype relationships from the multivariate analysis of responses to polymethacrylates

Biomaterials

Volumn 33, Issue 6, 2012, Pages 1699-1713

  Kou, Peng Meng ^a   Pallassana, Narayanan ^b   Bowden, Rebeca ^a   Cunningham, Barry ^b   Joy, Abraham ^b   Kohn, Joachim ^b   Babensee, Julia E ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Combinatorial library; Dendritic cells; Material properties; Partial linear squares regression; Polymethacrylate; Principal component analysis

Indexed keywords

COMBINATORIAL LIBRARY; DENDRITIC CELLS; MATERIAL PROPERTIES; PARTIAL LINEAR SQUARES REGRESSION; POLYMETHACRYLATES; PRINCIPAL COMPONENTS;

BIOMATERIALS; CELLS; FORECASTING; MULTIVARIANT ANALYSIS; SURFACES;

PRINCIPAL COMPONENT ANALYSIS;

BIOMATERIAL; CELL SURFACE MARKER; CYTOKINE; POLYMETHACRYLIC ACID DERIVATIVE;

ARTICLE; CELL MATURATION; COMPUTATIONAL FLUID DYNAMICS; CONTROLLED STUDY; DENDRITIC CELL; HUMAN; HUMAN CELL; HUMAN EXPERIMENT; IMMUNOCOMPETENT CELL; LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; NORMAL HUMAN; PHENOTYPE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROTEIN EXPRESSION;

BIOCOMPATIBLE MATERIALS; COATED MATERIALS, BIOCOMPATIBLE; COMBINATORIAL CHEMISTRY TECHNIQUES; DENDRITIC CELLS; HUMANS; KINETICS; MATERIALS TESTING; MODELS, CHEMICAL; MULTIVARIATE ANALYSIS; PHENOTYPE; POLYMERS; POLYMETHACRYLIC ACIDS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SURFACE PROPERTIES; TEMPERATURE; WATER;

EID: 83555177199     PISSN: 01429612     EISSN: 18785905     Source Type: Journal    
DOI: 10.1016/j.biomaterials.2011.10.066     Document Type: Article

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