Statistical analysis of relative labeled mass spectrometry data from complex samples using ANOVA.
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Journal of proteome research
دوره 7 1 شماره
صفحات -
تاریخ انتشار 2008