Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease
作者: Eleanor StanleyEleni Ioanna DelatolaEsther Nkuipou-KenfackWilliam SpoonerWalter KolchJoost P. SchanstraHarald MischakThomas Koeck
作者单位: 1Eagle Genomics Ltd, The Biodata Innovation Centre, Wellcome Genome Campus
2University College Dublin
3Mosaiques Diagnostics GmbH
4Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institute of Cardiovascular and Metabolic Disease
5Université Toulouse III Paul-Sabatier
6University of Glasgow
刊名: BMC Bioinformatics, 2016, Vol.17 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-016-1390-1
关键词: Statistical proteome analysisBiomarker detectionClassifier modelling
原始语种摘要: Abstract(#br) Background(#br)When combined with a clinical outcome variable, the size, complexity and nature of mass-spectrometry proteomics data impose great statistical challenges in the discovery of potential disease-associated biomarkers. The purpose of this study was thus to evaluate the effectiveness of different statistical methods applied for urinary proteomic biomarker discovery and different methods of classifier modelling in respect of the diagnosis of coronary artery disease in 197 study subjects and the prognostication of acute coronary syndromes in 368 study subjects.(#br) Results(#br)Computing the discovery sub-cohorts comprising \( {\scriptscriptstyle \raisebox{1ex}{$2$}\!\left/ \!\raisebox{-1ex}{$3$}\right.} \) of the study subjects based on the Wilcoxon rank sum test,...
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影响因子:3.024 (2012)

  • coronary 冠状的
  • urinary 尿的
  • artery 动脉
  • biomarker 生物标志化合物
  • peptide 
  • detection 探测
  • different 不相同的
  • statistical 统计的
  • context 菌髓
  • disease