A consolidated approach to analyzing data from high-throughput protein microarrays with an application to immune response profiling in humans

Journal of Computational Biology

Volumn 14, Issue 3, 2007, Pages 350-359

  Lubomirski, Mariusz ^a   D'Andrea, Michael R ^a   Belkowski, Stanley M ^a   Cabrera, Javier ^b   Dixon, James M ^a   Amaratunga, Dhammika ^a  

^a JOHNSON AND JOHNSON PHARMACEUTICAL RESEARCH AND DEVELOPMENT   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Antibody; DNA microarrays; Protein microarrays; Random forest; Spectral map

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; AUTOIMMUNITY; DATA ANALYSIS; DNA MICROARRAY; HUMAN; IMMUNE RESPONSE; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROTEIN MICROARRAY; RANDOM FOREST; STATISTICAL ANALYSIS;

AUTOANTIBODIES; AUTOIMMUNE DISEASES; DATA INTERPRETATION, STATISTICAL; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN ARRAY ANALYSIS; SOFTWARE;

EID: 34248561457     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2006.0116     Document Type: Article

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