Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial-Reference-Cited by-同舟云学术

Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial

Published:2021-08 Issue:8 Volume:17 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Čuklina Jelena¹²³^ORCID,Lee Chloe H¹^ORCID,Williams Evan G¹⁴^ORCID,Sajic Tatjana¹^ORCID,Collins Ben C¹⁵^ORCID,Rodríguez Martínez María³^ORCID,Sharma Varun S¹^ORCID,Wendt Fabian⁶^ORCID,Goetze Sandra⁶⁷⁸^ORCID,Keele Gregory R⁹^ORCID,Wollscheid Bernd⁶⁷⁸^ORCID,Aebersold Ruedi¹¹⁰^ORCID,Pedrioli Patrick G A¹⁶⁷⁸^ORCID

Affiliation:

1. Department of Biology Institute of Molecular Systems Biology ETH Zurich Zurich Switzerland

2. PhD Program in Systems Biology University of Zurich and ETH Zurich Zurich Switzerland

3. IBM Research Europe Rüschlikon Switzerland

4. Luxembourg Centre for Systems Biomedicine University of Luxembourg Luxembourg Luxembourg

5. Queen’s University Belfast Belfast UK

6. Department of Health Sciences and Technology Institute of Translational Medicine ETH Zurich Zurich Switzerland

7. ETH Zürich PHRT‐CPAC Zürich Switzerland

8. SIB Swiss Institute of Bioinformatics Lausanne Switzerland

9. The Jackson Laboratory Bar Harbor ME USA

10. Faculty of Science University of Zurich Zurich Switzerland

Funder

H2020 European Research Council

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.202110240

Reference58 articles.

1. On the design and analysis of gene expression studies in human populations

2. Singular value decomposition for genome-wide expression data processing and modeling

3. Adjustment of systematic microarray data biases

4. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

5. Multibatch TMT Reveals False Positives, Batch Effects and Missing Values

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