statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments统计的质量评估和孤立点检测的液相色谱-光谱法实验.pdf

BioData Mining BioMed Central Methodology Open Access Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments 1,2 3 2 Ole Schulz-Trieglaff* , Egidijus Machtejevas , Knut Reinert , 4 4 3 Hartmut Schlüter , Joachim Thiemann and Klaus Unger Address: 1International Max Planck Research School for Computational Biology and Scientific Computing, Berlin, Germany, 2Department Computer Science and Mathematics, Freie Universität Berlin, Berlin, Germany, 3Institute for Anorganic and Analytical Chemistry, Johannes Gutenberg-Universität, Mainz, Germany and 4Core Facility Protein Analytics, Charité – Universitätsmedizin Berlin, Berlin, Germany Email: Ole Schulz-Trieglaff* - trieglaf@inf.fu-berlin.de; Egidijus Machtejevas - egidijusmachtejevas@; Knut Reinert - reinert@inf.fu- berlin.de; Hartmut Schlüter - hartmut.schlueter@charite.de; Joachim Thiemann - joachim.thiemann@charite.de; Klaus Unger - K.K.Unger@web.de * Corresponding author Published: 7 April 2009 Received: 8 September 2008 Accepted: 7 April 2009 BioData Mining 2009, 2:4 doi:10.1186/1756-0381-2-4 This article is available from: /content/2/1/4 © 2009 Schulz-Trieglaff et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (/licenses/by/2.0), which permits unrestricted use, distribution, a