1.
J Proteome Res
; 7(1): 225-33, 2008 Jan.
Article
in English
| MEDLINE
| ID: mdl-18173221
ABSTRACT
Statistical tools enable unified analysis of data from multiple global proteomic experiments, producing unbiased estimates of normalization terms despite the missing data problem inherent in these studies. The modeling approach, implementation, and useful visualization tools are demonstrated via a case study of complex biological samples assessed using the iTRAQ relative labeling protocol.