Elimination of systematic mass measurement errors in liquid chromatography-mass spectrometry based proteomics using regression models and a priori partial knowledge of the sample content.
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Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instrumentsAutomated label-free quantification of metabolites from liquid chromatography-mass spectrometry dataCorrecting mass shifts: A lock mass-free recalibration procedure for mass spectrometry imaging data.DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.Mapping protein abundance patterns in the brain using voxelation combined with liquid chromatography and mass spectrometry.Integrated post-experiment monoisotopic mass refinement: an integrated approach to accurately assign monoisotopic precursor masses to tandem mass spectrometric dataDiscussion on common data analysis strategies used in MS-based proteomics.Normalization and missing value imputation for label-free LC-MS analysis.Protein analysis by shotgun/bottom-up proteomicsDiscovery of mouse spleen signaling responses to anthrax using label-free quantitative phosphoproteomics via mass spectrometry.UNiquant, a program for quantitative proteomics analysis using stable isotope labeling.Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects.Fully automated multifunctional ultrahigh pressure liquid chromatography system for advanced proteome analyses.De novo correction of mass measurement error in low resolution tandem MS spectra for shotgun proteomics.Normalization of peak intensities in bottom-up MS-based proteomics using singular value decompositionA protein profile of visceral adipose tissues linked to early pathogenesis of type 2 diabetes mellitus.A mitochondrial proteome profile indicative of type 2 diabetes mellitus in skeletal muscles
P2860
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P2860
Elimination of systematic mass measurement errors in liquid chromatography-mass spectrometry based proteomics using regression models and a priori partial knowledge of the sample content.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Elimination of systematic mass ...... owledge of the sample content.
@en
type
label
Elimination of systematic mass ...... owledge of the sample content.
@en
prefLabel
Elimination of systematic mass ...... owledge of the sample content.
@en
P2093
P2860
P50
P356
P1433
P1476
Elimination of systematic mass ...... owledge of the sample content.
@en
P2093
Alan R Dabney
Aleksey V Tolmachev
David G Camp
Matthew E Monroe
Mikhail E Belov
Navdeep Jaitly
Ronald J Moore
Wei-Jun Qian
P2860
P304
P356
10.1021/AC701863D
P407
P577
2007-12-29T00:00:00Z