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Literature DB >> 24328768

Large chronic obstructive pulmonary disease cohorts: advantages and caution in biomarker discovery/validation.

Robert A Stockley¹.

Abstract

Entities: Disease

Mesh：

Substances：

Year: 2013 PMID： 24328768 DOI： 10.1164/rccm.201311-2001ED

Source DB: PubMed Journal: Am J Respir Crit Care Med ISSN： 1073-449X Impact factor: 21.405

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1 in total

1. Fusion of the ¹H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome.

Authors: Adam Ząbek; Ivana Stanimirova; Stanisław Deja; Wojciech Barg; Aneta Kowal; Anna Korzeniewska; Magdalena Orczyk-Pawiłowicz; Daniel Baranowski; Zofia Gdaniec; Renata Jankowska; Piotr Młynarz
Journal: Metabolomics Date: 2015-05-22 Impact factor: 4.290

1 in total

Large chronic obstructive pulmonary disease cohorts: advantages and caution in biomarker discovery/validation.

1. Fusion of the 1H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome.

1. Fusion of the ¹H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome.