10 November 2022 2 9K Report

Set effects are usually quite imponent and mask sample characteristics when dealing with human samples and TMT-labeled non-targeted proteomics.

What is in your view the best approach to preserve the experimental differences while flattening down set effects (technical artifacts)?

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