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                                       Details for article 8 of 41 found articles
 
 
  Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements*
 
 
Title: Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements*
Author: Webb-Robertson, Bobbie-Jo M.
Matzke, Melissa M.
Datta, Susmita
Payne, Samuel H.
Kang, Jiyun
Bramer, Lisa M.
Nicora, Carrie D.
Shukla, Anil K.
Metz, Thomas O.
Rodland, Karin D.
Smith, Richard D.
Tardiff, Mark F.
McDermott, Jason E.
Pounds, Joel G.
Waters, Katrina M.
Appeared in: Molecular & cellular proteomics
Paging: Volume 13 () nr. 12 pages 3639-3646
Year: 2014
Contents:
Publisher: © 2014 ASBMB. Currently published by Elsevier Inc; originally published by American Society for Biochemistry and Molecular Biology.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 41 found articles
 
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