Application of meta-analysis methods for identifying proteomic expression level differences-Reference-Cited by-同舟云学术

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Application of meta-analysis methods for identifying proteomic expression level differences

Published:2013-06-06 Issue:14 Volume:13 Page:2072-2076
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Amess Bob¹,Kluge Wolfgang¹,Schwarz Emanuel¹,Haenisch Frieder¹,Alsaif Murtada¹,Yolken Robert H.²,Leweke F. Markus³,Guest Paul C.¹,Bahn Sabine¹⁴

Affiliation:

1. Department of Chemical Engineering and Biotechnology; University of Cambridge; Cambridge UK

2. Stanley Division of Developmental Neurovirology, Department of Pediatrics; Johns Hopkins University; Baltimore MD USA

3. Department of Psychiatry and Psychotherapy, Central Institute of Mental Health; University of Heidelberg; Mannheim Germany

4. Department of Neuroscience; Erasmus MC; Rotterdam The Netherlands

Funder

European Innovative Medicines Initiative NEWMEDS

Stanley Medical Research Institute

Dutch Fund for Economic Structure Reinforcement

European Union FP7 SchizDX research programme

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201300034/fullpdf

Reference15 articles.

1. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments;Breitling;FEBS Lett.,2004

2. Comparative evaluation of classifiers in the presence of statistical interactions between features in high dimensional data settings;Guo;Int. J. Biostat.,2012

3. Proteomic pattern analysis discriminates among multiple sclerosis-related disorders;Komori;Ann. Neurol.,2012

4. Comprehensive literature review and statistical considerations for microarray meta-analysis;Tseng;Nucleic Acids Res.,2012

5. Multiple testing in large-scale genetic studies;Bouaziz;Methods Mol. Biol.,2012

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