A data analysis framework for combining multiple batches increases the power of isobaric proteomics experiments
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We present a framework for the analysis of multiplexed mass spectrometry proteomics data that reduces estimation error when combining multiple isobaric batches. Variations in the number and quality of observations have long complicated the analysis of isobaric... ...
