Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
about
Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality controlThe use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples.Application of Passive Sampling to Characterise the Fish Exometabolome.Influence of missing values substitutes on multivariate analysis of metabolomics data.Integrative analysis of longitudinal metabolomics data from a personal multi-omics profileA data preprocessing strategy for metabolomics to reduce the mask effect in data analysis.Effects of imputation on correlation: implications for analysis of mass spectrometry data from multiple biological matrices.Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics dataNon-targeted UHPLC-MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scalingPreprocessing and Pretreatment of Metabolomics Data for Statistical Analysis.Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics datamvp - an open-source preprocessor for cleaning duplicate records and missing values in mass spectrometry dataThe effect of perhexiline on myocardial protection during coronary artery surgery: a two-centre, randomized, double-blind, placebo-controlled trial.Taxonomic and environmental variation of metabolite profiles in marine dinoflagellates of the genus symbiodinium.Analysis of human plasma metabolites across different liquid chromatography/mass spectrometry platforms: Cross-platform transferable chemical signatures.Multivariate two-part statistics for analysis of correlated mass spectrometry data from multiple biological specimens.Mass Spectrometry Based Metabolomics Comparison of Liver Grafts from Donors after Circulatory Death (DCD) and Donors after Brain Death (DBD) Used in Human Orthotopic Liver Transplantation.Metabolomics reveals an involvement of pantothenate for male production responding to the short-day stimulus in the water flea, Daphnia pulex.Analysis of plant leaf metabolites reveals no common response to insect herbivory by Pieris rapae in three related host-plant speciesA stable-isotope mass spectrometry-based metabolic footprinting approach to analyze exudates from phytoplankton.Experimental design and reporting standards for metabolomics studies of mammalian cell lines.A complete workflow for high-resolution spectral-stitching nanoelectrospray direct-infusion mass-spectrometry-based metabolomics and lipidomics.Resolution of Novel Pancreatic Ductal Adenocarcinoma Subtypes by Global Phosphotyrosine Profiling.Metabolomic Bioinformatic Analysis.Metabolomic Biomarker Identification in Presence of Outliers and Missing Values.GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment.Characterising and correcting batch variation in an automated direct infusion mass spectrometry (DIMS) metabolomics workflow.Anaerobic metabolism at thermal extremes: a metabolomic test of the oxygen limitation hypothesis in an aquatic insect.Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations.proFIA: a data preprocessing workflow for flow injection analysis coupled to high-resolution mass spectrometry.Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data.Salivary metabolomics profile of patients with recurrent aphthous ulcer as revealed by liquid chromatography-tandem mass spectrometry.Tissue metabolite profiling identifies differentiating and prognostic biomarkers for prostate carcinoma.Rapid metabolic screening of early zebrafish embryogenesis based on direct infusion-nanoESI-FTMS
P2860
Q28650642-E916C731-7AEE-4509-81F4-90989A0DF26BQ30250086-0F24C8B4-3050-40C7-BC03-107684CE8D80Q30359074-AF577692-8DA0-44AE-975D-5FA31037F47DQ30434701-43A878C6-AE52-400C-A69B-E645B9161C85Q30832988-59A31125-23F1-4548-B3DF-714C63C5F186Q30953959-5A18CD27-D390-4D2B-96F2-5B3B21DF1B9BQ31047935-935DD7FA-ACBF-4F4C-8DF0-920900E22A15Q31049058-E5476400-A601-4220-93FD-40BA13A635FFQ31086494-1D9F1DEA-B89E-4DB6-968A-B130CCBC2836Q31157587-84C63402-C465-4742-A5F7-31BBF4521367Q31159076-14F323DE-0078-4897-9A31-3FAEABC13E38Q33862968-0B69392C-54CF-4E59-9924-9E85E23CD2FCQ35073446-61F5246F-1E66-4479-95F6-0442A2E8E00DQ35237601-0F89C617-220A-4EE0-B743-CEA4715D17BAQ35913892-F97E8081-65DD-4D6A-8168-1617396F010BQ36122695-2DED2E1B-4230-4305-AB29-A900ABD89770Q36189744-386EED5B-A19A-4CE5-9D4D-D95061A76121Q36835411-E53D3718-0E04-40FF-9486-8AF4C4805B7EQ37179845-FC288202-19AD-4766-BEF5-25D7DAD91BB2Q37369775-058E977B-76C5-4529-BBB8-DD893EB5D6A9Q38698193-BBA36B99-17D5-48B4-8572-C8586B6A301AQ38721732-39F00DB7-61A9-4DC3-B193-0E1CED8077F2Q38766765-A4F7806D-258A-46DD-A438-74807A3DEAEFQ38787404-8B464C79-9CD4-41AF-9BED-D83928EF62DBQ38907984-E51D99E0-8AFB-440C-B377-F4DCF438560AQ40247206-771AFF74-5C7A-4694-9211-417892594C3BQ45087614-2AEFF50C-9BCC-443F-BBA4-4EAAADD033D1Q45139155-375E8344-9E82-43DE-9EA8-3481B9A2866CQ47258919-7F95590C-970D-4010-AD54-E4B72BDEAC8BQ47313816-18C4C285-494E-4B5D-91D6-337B3E108531Q48250933-C1BF609E-1CBE-491B-92AE-136937F810EEQ50052637-C83221A9-1BAC-496F-8C2F-EFF4BADF5B4EQ50936284-B275550B-1358-40D4-A592-DFF01EB8A8F8Q56982051-128EC8F5-2328-4B10-BB5B-3F687CE1E7FE
P2860
Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в жовтні 2011
@uk
name
Missing values in mass spectro ...... n the data processing pipeline
@en
Missing values in mass spectro ...... n the data processing pipeline
@nl
type
label
Missing values in mass spectro ...... n the data processing pipeline
@en
Missing values in mass spectro ...... n the data processing pipeline
@nl
prefLabel
Missing values in mass spectro ...... n the data processing pipeline
@en
Missing values in mass spectro ...... n the data processing pipeline
@nl
P2860
P1433
P1476
Missing values in mass spectro ...... n the data processing pipeline
@en
P2093
Olga Hrydziuszko
P2860
P2888
P304
P356
10.1007/S11306-011-0366-4
P577
2011-10-08T00:00:00Z