Robust-linear-model normalization to reduce technical variability in functional protein microarrays

Journal of Proteome Research

Volumn 8, Issue 12, 2009, Pages 5451-5464

  Sboner, Andrea ^a   Karpikov, Alexander ^a   Chen, Gengxin ^b   Smith, Michael ^b   Dawn, Mattoon ^c   Freeman Cook, Lisa ^b   Schweitzer, Barry ^b   Gerstein, Mark B ^a,d  

^a YALE UNIVERSITY   (United States)

^b INVITROGEN CORPORATION   (United States)

^c Life Technologies   (United States)

^d Yale University   (United States)

Author keywords

Global normalization; Interarray variability; Intra array variability; Protein arrays; Quantile normalization; Robust linear model normalization

Indexed keywords

ARTICLE; BIOSEPARATION; CONTROLLED STUDY; DNA MICROARRAY; HUMAN; PRIORITY JOURNAL; PROTEIN BLOOD LEVEL; PROTEIN MICROARRAY; ROBUST LINEAR MODEL; SEROLOGY; SIGNAL TRANSDUCTION; STATISTICAL MODEL; TITRIMETRY;

AUTOANTIBODIES; HUMANS; LINEAR MODELS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PROTEIN ARRAY ANALYSIS;

EID: 71549138357     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr900412k     Document Type: Article

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