Combined statistical analyses of peptide intensities and peptide occurrences improves identification of significant peptides from MS-based proteomics data.
about
Comparative proteomics and pulmonary toxicity of instilled single-walled carbon nanotubes, crocidolite asbestos, and ultrafine carbon black in miceHigh and low doses of ionizing radiation induce different secretome profiles in a human skin modelHepatic Cytochrome P450 Activity, Abundance, and Expression Throughout Human DevelopmentEffects of delayed NSAID administration after experimental eccentric contraction injury – A cellular and proteomics studyA comprehensive collection of systems biology data characterizing the host response to viral infection.Systematic assessment of survey scan and MS2-based abundance strategies for label-free quantitative proteomics using high-resolution MS data.Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens.A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.Improved quality control processing of peptide-centric LC-MS proteomics dataPlasma biomarkers for detecting Hodgkin's lymphoma in HIV patients.A Statistical Analysis of the Effects of Urease Pre-treatment on the Measurement of the Urinary Metabolome by Gas Chromatography-Mass Spectrometry.Key issues in the acquisition and analysis of qualitative and quantitative mass spectrometry data for peptide-centric proteomic experiments.Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.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.Proteome and computational analyses reveal new insights into the mechanisms of hepatitis C virus-mediated liver disease posttransplantation.Proteomic analysis of bronchoalveolar lavage fluid proteins from mice infected with Francisella tularensis ssp. novicida.Silymarin Suppresses Cellular Inflammation By Inducing Reparative Stress SignalingA statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors.Review, 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.MPLEx: a method for simultaneous pathogen inactivation and extraction of samples for multi-omics profiling.The fungal cultivar of leaf-cutter ants produces specific enzymes in response to different plant substrates.Proteomic analysis of Phytophthora infestans reveals the importance of cell wall proteins in pathogenicity.A global survey of ATPase activity in Plasmodium falciparum asexual blood stages and gametocytes.MERS-CoV and H5N1 influenza virus antagonize antigen presentation by altering the epigenetic landscape.P-MartCancer-Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets.Comparing identified and statistically significant lipids and polar metabolites in 15-year old serum and dried blood spot samples for longitudinal studies.Phosphoproteomic analysis identifies proteins involved in transcription-coupled mRNA decay as targets of Snf1 signaling.
P2860
Q23915619-EDB92467-0FF8-4C93-BCEA-42F4494082A3Q28541102-C7C4A86C-AE10-4FE2-907F-44CE53573D25Q28831360-72D16ADB-BC83-4EBA-AF83-63AB795DD739Q29248906-C1CA955E-C961-4514-987C-3EA03A9C674AQ30374709-A4F0BC34-006D-4B9F-B60F-91C0BA649856Q30779337-45680433-5193-4AE7-8DA1-ACE99E18E8A5Q31114011-970234E5-3236-4D05-B646-A997D8B6EBD7Q31126174-24C40A4D-4AAF-4806-95E6-56CF11851A74Q33996476-B5E88D30-280A-4B98-AAAA-C108148E5053Q34110884-7D57D146-1E95-4E46-84A4-CD3398EA1448Q34218566-8818F590-084F-4ED5-98F6-4C420325D00EQ34347440-64E22245-DD49-4BFB-B6EA-8A11E5D2DAB4Q34486911-97304B1F-6FCC-4C6E-AA73-BB70FC39B108Q34635023-0D31CA1E-9859-4EE6-964E-F6CD99DC0814Q34877835-73CC5963-F3AE-4B36-9E51-89102EF5051DQ35721961-10E012A3-2770-467F-B1C1-97AAB53305B6Q35893651-E239C82D-2E38-4FAE-AAAA-5CBC1BA30C36Q36069506-430130CE-CB3F-47D7-89F6-39ED44177562Q36175838-AB992C04-1269-4E90-AF63-A472DA16BD78Q36435673-EE6FFA58-41CE-4957-A492-95DBC9FF7507Q36453060-3AE853B8-9070-494D-93E6-795414422FD9Q36647475-DE505724-8AB2-49FD-A2D4-66ECFC6F6EB5Q36759684-FA0565BC-82B4-485A-8212-5DADF8602C78Q37001955-F2350760-FF40-4519-8DE1-4ACD765120F3Q37178626-72E0A269-C1D0-4AFD-BE51-F490321CB8A4Q37259865-CC4D1560-E3E4-438A-9AF2-AE7111EB1496Q37349232-E141E803-4335-42E7-9C22-89723503497CQ38721171-2BB04922-FA1D-4B6F-8BBF-32E05A9D1340Q39328319-F3523078-94F3-43AC-B44D-DEF248ABA6F4Q41995427-450D3C63-1E85-476B-A1ED-336E01FB328CQ44169359-74C7293C-D0FB-4287-A203-7B5230A00678Q47552814-E2FF8090-BDCB-4B11-B8D7-4F89EB04DACFQ47577234-214FB754-0DD0-4DD4-894C-F2F1894452BCQ48014832-85B4E75D-DB59-4E0A-81FC-576F312CF55DQ54339361-D3D9D5E8-00AC-42BD-8E4C-C6D217BC8908
P2860
Combined statistical analyses of peptide intensities and peptide occurrences improves identification of significant peptides from MS-based proteomics data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Combined statistical analyses ...... from MS-based proteomics data.
@ast
Combined statistical analyses ...... from MS-based proteomics data.
@en
type
label
Combined statistical analyses ...... from MS-based proteomics data.
@ast
Combined statistical analyses ...... from MS-based proteomics data.
@en
prefLabel
Combined statistical analyses ...... from MS-based proteomics data.
@ast
Combined statistical analyses ...... from MS-based proteomics data.
@en
P2093
P2860
P50
P356
P1476
Combined statistical analyses ...... from MS-based proteomics data.
@en
P2093
Bobbie-Jo M Webb-Robertson
Jon M Jacobs
Melissa M Matzke
Susan M Varnum
P2860
P304
P356
10.1021/PR1005247
P577
2010-10-08T00:00:00Z