Processing methods for differential analysis of LC/MS profile data
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Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosisA Guideline to Univariate Statistical Analysis for LC/MS-Based Untargeted Metabolomics-Derived DataPatternLab for proteomics: a tool for differential shotgun proteomicsLC-MS-based metabolomicsMZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile dataProteomic-based detection of a protein cluster dysregulated during cardiovascular development identifies biomarkers of congenital heart defectsHighly sensitive feature detection for high resolution LC/MSBioinformatics: the next frontier of metabolomicsTowards in vivo estimation of reaction kinetics using high-throughput metabolomics data: a maximum likelihood approach.Highly-parallel metabolomics approaches using LC-MS for pharmaceutical and environmental analysis.Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.Hybrid feature detection and information accumulation using high-resolution LC-MS metabolomics data.Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.Automated label-free quantification of metabolites from liquid chromatography-mass spectrometry dataLC-MS metabolomics from study design to data-analysis - using a versatile pathogen as a test case.MS/MS spectral tag-based annotation of non-targeted profile of plant secondary metabolites.Comparison of peak-picking workflows for untargeted liquid chromatography/high-resolution mass spectrometry metabolomics data analysis.mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets.Mass spectral similarity for untargeted metabolomics data analysis of complex mixtures.MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data.Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum.A statistical method for chromatographic alignment of LC-MS data.Normalization method for metabolomics data using optimal selection of multiple internal standards.Untargeted analysis of mass spectrometry data for elucidation of metabolites and function of enzymes.Advanced data-mining strategies for the analysis of direct-infusion ion trap mass spectrometry data from the association of perennial ryegrass with its endophytic fungus, Neotyphodium lolii.Plant metabolomics: from holistic hope, to hype, to hot topic.AYUMS: an algorithm for completely automatic quantitation based on LC-MS/MS proteome data and its application to the analysis of signal transduction.PPAR gamma 2 prevents lipotoxicity by controlling adipose tissue expandability and peripheral lipid metabolism.The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments.A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments.Dealing with the unknown: metabolomics and metabolite atlases.Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements.LC-MSsim--a simulation software for liquid chromatography mass spectrometry dataA signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data.Implementation of a semi-automated strategy for the annotation of metabolomic fingerprints generated by liquid chromatography-high resolution mass spectrometry from biological samples.'Brukin2D': a 2D visualization and comparison tool for LC-MS dataIDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.Elevated pro-inflammatory and lipotoxic mucosal lipids characterise irritable bowel syndrome.Multivariate classification of urine metabolome profiles for breast cancer diagnosisMass spectrometry-based technologies for high-throughput metabolomics.
P2860
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P2860
Processing methods for differential analysis of LC/MS profile data
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Processing methods for differential analysis of LC/MS profile data
@ast
Processing methods for differential analysis of LC/MS profile data
@en
Processing methods for differential analysis of LC/MS profile data
@nl
type
label
Processing methods for differential analysis of LC/MS profile data
@ast
Processing methods for differential analysis of LC/MS profile data
@en
Processing methods for differential analysis of LC/MS profile data
@nl
prefLabel
Processing methods for differential analysis of LC/MS profile data
@ast
Processing methods for differential analysis of LC/MS profile data
@en
Processing methods for differential analysis of LC/MS profile data
@nl
P2860
P3181
P356
P1433
P1476
Processing methods for differential analysis of LC/MS profile data
@en
P2093
Mikko Katajamaa
P2860
P2888
P3181
P356
10.1186/1471-2105-6-179
P407
P50
P577
2005-07-18T00:00:00Z
P5875
P6179
1006306747