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Strategy for Optimizing LC-MS Data Processing in Metabolomics: A Design of Experiments Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Design and Analysis of Experiments
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Knowledge discovery in metabolomics: An overview of MS data handling
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Design of experiments: an efficient strategy to identify factors influencing extraction and derivatization of Arabidopsis thaliana samples in metabolomic studies with gas chromatography/mass spectrometry
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Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: From extraction to data analysis
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Simultaneous extraction of several metabolites of energy metabolism and related substances in mammalian cells: Optimization using experimental design
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Data processing for mass spectrometry-based metabolomics
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An experimental design approach using response surface techniques to obtain optimal liquid chromatography and mass spectrometry conditions to determine the alkaloids in Meconopsi species
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Chemometric study of the influence of instrumental parameters on ESI-MS analyte response using full factorial design
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Extraction and GC/MS Analysis of the Human Blood Plasma Metabolome
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XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification
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Summary recommendations for standardization and reporting of metabolic analyses
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Optimization of procedures for collecting and storing of CSF for studying the metabolome in ALS
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Proper gibberellin localization in vascular tissue is required to control auxin‐dependent leaf development and bud outgrowth in hybrid aspen
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Statistics for Experimenters: Design, Innovation, and Discovery
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Metabolomics—The State of Art
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R: A Language and Environment for Statistical Computing
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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