A statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors.
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High and low doses of ionizing radiation induce different secretome profiles in a human skin modelA comprehensive collection of systems biology data characterizing the host response to viral infection.Improved normalization of systematic biases affecting ion current measurements in label-free proteomics data.Normalyzer: a tool for rapid evaluation of normalization methods for omics data setsA network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.Leucine Biosynthesis Is Involved in Regulating High Lipid Accumulation in Yarrowia lipolytica.A Statistical Analysis of the Effects of Urease Pre-treatment on the Measurement of the Urinary Metabolome by Gas Chromatography-Mass Spectrometry.Protein and microRNA biomarkers from lavage, urine, and serum in military personnel evaluated for dyspnea.Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data.Bayesian proteoform modeling improves protein quantification of global proteomic measurements.Specific mutations in H5N1 mainly impact the magnitude and velocity of the host response in mice.Muscle Segment Homeobox Genes Direct Embryonic Diapause by Limiting Inflammation in the UterusProteomic analysis reveals down-regulation of surfactant protein B in murine type II pneumocytes infected with influenza A virus.Silymarin Suppresses Cellular Inflammation By Inducing Reparative Stress SignalingReview, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomicsRelease of severe acute respiratory syndrome coronavirus nuclear import block enhances host transcription in human lung cells.Disparate proteome responses of pathogenic and nonpathogenic aspergilli to human serum measured by activity-based protein profiling (ABPP).A comparative analysis of computational approaches to relative protein quantification using peptide peak intensities in label-free LC-MS proteomics experiments.A semiautomated framework for integrating expert knowledge into disease marker identification.MPLEx: a Robust and Universal Protocol for Single-Sample Integrative Proteomic, Metabolomic, and Lipidomic Analyses.Improved intensity-based label-free quantification via proximity-based intensity normalization (PIN).The landscape of viral proteomics and its potential to impact human health.The fungal cultivar of leaf-cutter ants produces specific enzymes in response to different plant substrates.A systematic evaluation of normalization methods in quantitative label-free proteomics.Quantification of extracellular matrix proteins from a rat lung scaffold to provide a molecular readout for tissue engineering.MERS-CoV and H5N1 influenza virus antagonize antigen presentation by altering the epigenetic landscape.Simple correction improving long-term reproducibility of HPLC-MS.
P2860
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P2860
A statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
A statistical selection strate ...... normalization scaling factors.
@ast
A statistical selection strate ...... normalization scaling factors.
@en
type
label
A statistical selection strate ...... normalization scaling factors.
@ast
A statistical selection strate ...... normalization scaling factors.
@en
prefLabel
A statistical selection strate ...... normalization scaling factors.
@ast
A statistical selection strate ...... normalization scaling factors.
@en
P2860
P50
P356
P1433
P1476
A statistical selection strate ...... normalization scaling factors
@en
P2093
Jon M Jacobs
Melissa M Matzke
P2860
P304
P356
10.1002/PMIC.201100078
P577
2011-11-17T00:00:00Z