Recognizing Uncertainty Increases Robustness and Reproducibility of Mass Spectrometry-based Protein Inferences
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文摘
Parsimony and protein grouping are widely employed to enforce economy in the number of identified proteins, with the goal of increasing the quality and reliability of protein identifications; however, in a counterintuitive manner, parsimony and protein grouping may actually decrease the reproducibility and interpretability of protein identifications. We present a simple illustration demonstrating ways in which parsimony and protein grouping may lower the reproducibility or interpretability of results. We then provide an example of a data set where a probabilistic method increases the reproducibility and interpretability of identifications made on replicate analyses of Human Du145 prostate cancer cell lines.r>

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rs" href="http://pubs.acs.org/action/doSearch?action=search&searchText=probabilistic+protein+inference&qsSearchArea=searchText">probabilistic protein inference; rs" href="http://pubs.acs.org/action/doSearch?action=search&searchText=parsimony&qsSearchArea=searchText">parsimony; rs" href="http://pubs.acs.org/action/doSearch?action=search&searchText=protein+grouping&qsSearchArea=searchText">protein grouping; rs" href="http://pubs.acs.org/action/doSearch?action=search&searchText=Human+Du145+prostate+cancer+cell+lines&qsSearchArea=searchText">Human Du145 prostate cancer cell lines
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