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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6747-6_22
Abstract: Data quality assessment is important for reproducibility of proteomics experiments and reusability of proteomics data. We describe a set of statistical tools to routinely visualize and examine the quality control (QC) metrics obtained for raw…
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Keywords:
quality;
statistical assessment;
assessment metrics;
metrics raw ... See more keywords