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

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

Abstract Advancements in mass spectrometry‐based proteomics have enabled experiments encompassing hundreds of samples. While these large sample sets deliver much‐needed statistical power, handling them introduces technical variability known as batch effects. Here, we present a step‐by‐step protocol...

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Bibliographic Details
Main Authors: Jelena Čuklina, Chloe H Lee, Evan G Williams, Tatjana Sajic, Ben C Collins, María Rodríguez Martínez, Varun S Sharma, Fabian Wendt, Sandra Goetze, Gregory R Keele, Bernd Wollscheid, Ruedi Aebersold, Patrick G A Pedrioli
Format: Article
Language:English
Published: Springer Nature 2021-08-01
Series:Molecular Systems Biology
Subjects:
batch effects
data analysis
large‐scale proteomics
normalization
quantitative proteomics
Online Access:https://doi.org/10.15252/msb.202110240
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https://doi.org/10.15252/msb.202110240

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