Alignment of LC-MS images, with applications to biomarker discovery and protein identification.
about
LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.Profile-Based LC-MS data alignment--a Bayesian approach.Multi-profile Bayesian alignment model for LC-MS data analysis with integration of internal standards.Preprocessing and Analysis of LC-MS-Based Proteomic DataA hybrid retention time alignment algorithm for SWATH-MS data.Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements.Global phosphoproteomics reveals crosstalk between Bcr-Abl and negative feedback mechanisms controlling Src signaling.Discussion on common data analysis strategies used in MS-based proteomics.Generic workflow for quality assessment of quantitative label-free LC-MS analysis.SCFIA: a statistical corresponding feature identification algorithm for LC/MS.PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use.A new method for alignment of LC-MALDI-TOF dataRetention time alignment of LC/MS data by a divide-and-conquer algorithm.An adaptive alignment algorithm for quality-controlled label-free LC-MS.Quantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasetsImage analysis tools and emerging algorithms for expression proteomics.Warpgroup: increased precision of metabolomic data processing by consensus integration bound analysisMZDASoft: a software architecture that enables large-scale comparison of protein expression levels over multiple samples based on liquid chromatography/tandem mass spectrometryCurrent challenges in software solutions for mass spectrometry-based quantitative proteomics.A Bayesian approach to the alignment of mass spectra.Peek a peak: a glance at statistics for quantitative label-free proteomics.Isobaric protein and peptide quantification: perspectives and issues.Plant organelle proteomics: collaborating for optimal cell function.Less label, more free: approaches in label-free quantitative mass spectrometry.The application of quantification techniques in proteomics for biomedical research.Tools for label-free peptide quantification.Mass Spectrometry-Based Protein Quantification.Uncertainty estimation of predictions of peptides' chromatographic retention times in shotgun proteomics.Exploring skyline for both MS(E) -based label-free proteomics and HRMS quantitation of small molecules.A combinatorial approach to the peptide feature matching problem for label-free quantification.Statistical detection of quantitative protein biomarkers provides insights into signaling networks deregulated in acute myeloid leukemia.Mining proteomic data for biomedical researchImage Analysis Tools in Proteomics
P2860
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P2860
Alignment of LC-MS images, with applications to biomarker discovery and protein identification.
description
2008 nî lūn-bûn
@nan
2008 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
name
Alignment of LC-MS images, wit ...... ry and protein identification.
@ast
Alignment of LC-MS images, wit ...... ry and protein identification.
@en
Alignment of LC-MS images, wit ...... ry and protein identification.
@nl
type
label
Alignment of LC-MS images, wit ...... ry and protein identification.
@ast
Alignment of LC-MS images, wit ...... ry and protein identification.
@en
Alignment of LC-MS images, wit ...... ry and protein identification.
@nl
prefLabel
Alignment of LC-MS images, wit ...... ry and protein identification.
@ast
Alignment of LC-MS images, wit ...... ry and protein identification.
@en
Alignment of LC-MS images, wit ...... ry and protein identification.
@nl
P2860
P50
P356
P1433
P1476
Alignment of LC-MS images, wit ...... ry and protein identification.
@en
P2093
Hans-Michael Kaltenbach
Runxuan Zhang
P2860
P304
P356
10.1002/PMIC.200700791
P577
2008-02-01T00:00:00Z