A Probabilistic Framework for Peptide and Protein Quantitation

Library Number:
720001710EN
Part Number:
720001710EN
Author(s):
Keith Richardson;Richard Denny;Iain Campuzano;Thérèse McKenna;Phillip Young (Waters);John Skilling (Maximum Entropy Data Consultants Ltd)
Source:
ASMS 2006 May 28-June1, 2006 Seattle, Wa
Content Type:
Posters
Content Subtype:
ASMS
Related Products:
ASMS 2006, Quantitative Techniques I: Bayesian quantitation is robust even when some data are missing, weak or in error. Any number of sample conditions and replicates may be analysed. Using MSE data, results on three standard proteins are consistent with the nominal changes in concentration both within 2% and the reported 95% confidence intervals. The method is applicable to labelled or label-free data.

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