Statistical issues in quality control of proteomic analyses: good experimental design and planning.
about
Studying Cellular Signal Transduction with OMIC TechnologiesProteomics: from single molecules to biological pathwaysPhosphoproteomics in photosynthetic organisms.ROCS: a reproducibility index and confidence score for interaction proteomics studies.Internal standard strategies for relative and absolute quantitation of peptides in biological matrices by liquid chromatography tandem mass spectrometry.Interindividual variation in the proteome of human peripheral blood mononuclear cellsCriteria for the use of omics-based predictors in clinical trials: explanation and elaboration.Assessment of tandem mass spectrometry and high-resolution mass spectrometry for the analysis of bupivacaine in plasma.Changes in the plasma proteome follows chronic opiate administration in simian immunodeficiency virus infected rhesus macaques.Gel-based and gel-free quantitative proteomics approaches at a glance.Additions to the Human Plasma Proteome via a Tandem MARS Depletion iTRAQ-Based Workflow.Interlaboratory study on differential analysis of protein glycosylation by mass spectrometry: the ABRF glycoprotein research multi-institutional study 2012Proteomic Workflows for Biomarker Identification Using Mass Spectrometry - Technical and Statistical Considerations during Initial Discovery.To label or not to label: applications of quantitative proteomics in neuroscience research.Recent advances in platelet proteomics.Proteomics of pulmonary hypertension: could personalized profiles lead to personalized medicine?Epidemiologic design and analysis for proteomic studies: a primer on -omic technologies.Computational quality control tools for mass spectrometry proteomics.Biological versus technical variability in 2-D DIGE experiments with environmental bacteria.Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.Designing Successful Proteomics Experiments.Phosphatidylinositol-3,4,5-trisphosphate 5-phosphatase 1: a meaningful and independent marker to predict stroke in the Chinese population.Serum protein biomarkers screening in patients with ischemic stroke by LC-MS/MS
P2860
Q24289429-9CA48CDE-EF74-4F56-A817-AFF050EB71C0Q26851340-D2363408-6B85-4E5A-BAF6-C614804CA149Q30362533-8F947DA3-DB79-4B05-A323-A5B7398F633EQ34298255-5E86F08C-CCCC-4676-B08F-68C425BF7171Q34310103-41D4CDED-D8D8-4701-9755-8CA95E58CF38Q34685430-3B4826F2-6E50-4955-863C-136C66A28E8EQ35042433-BDB0D5D2-07CA-4FB8-A0D0-61D1CD6DF34BQ35627328-D75BE80B-D674-422C-B6F0-BB8031313A4AQ35633198-E058D169-BA00-4F0E-819D-FBA7FBA7422AQ36429606-E7F6330D-739B-4291-A7D7-0571E35D8725Q36664014-D74BEF5E-BC57-4120-A239-5091C0E25DCEQ37214705-18E75E01-9F5D-4421-A5AF-DCE937D7811AQ37636447-40F1980F-5C53-4EC4-83EC-AE44CF885D5DQ37976002-C579B08A-58DF-4118-AC69-CCC9DCCD4163Q38042461-86D25164-B731-47CB-9536-7C976578FD60Q38269463-0F75DD54-5247-422C-882B-ECD09E38BFF1Q38384848-FC040366-82EE-45D1-BA74-69893F39C75EQ38934072-E99173C1-DD73-49E9-9B85-C03469BF0A5AQ45107683-1A988CA9-7567-4E06-94C2-BDD1F0AF24AFQ47303712-B22D0CFD-561F-45F7-BADF-E2B2BE477E43Q52725521-B1A328BE-D452-4FA9-8CCB-C3B3109868DCQ54420081-DB2DD221-4BCE-4F38-98A2-F4DEF711BDA2Q56484686-B5ECE7ED-92DD-4C63-AE1D-496F54D918F6
P2860
Statistical issues in quality control of proteomic analyses: good experimental design and planning.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 07 February 2011
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Statistical issues in quality ...... erimental design and planning.
@en
Statistical issues in quality ...... erimental design and planning.
@en-gb
Statistical issues in quality ...... erimental design and planning.
@nl
type
label
Statistical issues in quality ...... erimental design and planning.
@en
Statistical issues in quality ...... erimental design and planning.
@en-gb
Statistical issues in quality ...... erimental design and planning.
@nl
prefLabel
Statistical issues in quality ...... erimental design and planning.
@en
Statistical issues in quality ...... erimental design and planning.
@en-gb
Statistical issues in quality ...... erimental design and planning.
@nl
P2860
P356
P1433
P1476
Statistical issues in quality ...... erimental design and planning.
@en
P2860
P304
P356
10.1002/PMIC.201000579
P577
2011-02-07T00:00:00Z