
Articles
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3 weeks ago |
dx.doi.org | Jack Freestone |Lukas Käll |William Noble |Uri Keich
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Oct 20, 2024 |
biorxiv.org | Jack Freestone |Michael Riffle |Michael J MacCoss |William Noble
AbstractA pressing statistical challenge in the field of mass spectrometry proteomics is how to assess whether a given software tool provides accurate error control. Each software tool for searching such data uses its own internally implemented methodology for reporting and controlling the error. Many of these software tools are closed source, with incompletely documented methodology, and the strategies for validating the error are inconsistent across tools.
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Jun 4, 2024 |
biorxiv.org | Jack Freestone |Michael J MacCoss |William Noble |Michael Riffle
AbstractA pressing statistical challenge in the field of mass spectrometry proteomics is how to assess whether a given software tool provides accurate error control. Each software tool for searching such data uses its own internally implemented methodology for reporting and controlling the error. Many of these software tools are closed source, with incompletely documented methodology, and the strategies for validating the error are inconsistent across tools.
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