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A proteomic approach combining MS and bioinformatic analysis for the detection and identification of biomarkers of administration of exogenous human growth hormone in humans

An integrated MS-based proteomic approach is described that combines MALDI-MS and LC-MS with artificial neural networks for the identification of protein and peptide biomarkers associated with recombinant human growth hormone (rhGH) administration. Serum from exercised males administered with rhGH o...

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Bibliographic Details
Main Authors:	Joshua Boateng, Richard G. Kay, Lee Lancashire, Pamela Brown, Cristiana Velloso, Pierre Bouloux, Phil Teale, Jane Roberts, Robert Rees, Graham Ball, Stephen Harridge, Geoffrey Goldspink, Colin Creaser
Format:	Default Article
Published:	2009
Subjects:	Other chemical sciences not elsewhere classified Bioinformatics ESI-MS/MS LC MALDI Serum biomarkers Chemical Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/15895
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