2014
DOI: 10.1007/s13361-013-0824-5
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Implementation of Statistical Process Control for Proteomic Experiments Via LC MS/MS

Abstract: Statistical process control (SPC) is a robust set of tools that aids in the visualization, detection, and identification of assignable causes of variation in any process that creates products, services, or information. A tool has been developed termed Statistical Process Control in Proteomics (SProCoP) which implements aspects of SPC (e.g., control charts and Pareto analysis) into the Skyline proteomics software. It monitors five quality control metrics in a shotgun or targeted proteomic workflow. None of thes… Show more

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Cited by 41 publications
(71 citation statements)
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“…It is recommended that QC samples be analyzed every 4–5 injections to monitor system performance 48 .…”
Section: Methodsmentioning
confidence: 99%
“…It is recommended that QC samples be analyzed every 4–5 injections to monitor system performance 48 .…”
Section: Methodsmentioning
confidence: 99%
“…The variability decrease is the key aspect of the quality improvement [17]- [20] There are two types of causes variation, assignable and standard. The assignable causes are not the regular part of the process, and we can identify them.…”
Section: Statistical Process Control (Spc)mentioning
confidence: 99%
“…While both tools are designed for analysis of Tier 2 assaysl, Qualis-SIS was developed with the FDA requirements for standard curve generation and analysis in mind, as required for assays seeking FDA clearance/approval [95], and therefore also serves as a good resource for Tier 1 assay measurements. To help evaluate QC performance data, a statistical visualization tool -termed Statistical Process Control in Proteomics (SProCoP) tool [104] -is available through Skyline.…”
Section: Requirements For Clinical Translationmentioning
confidence: 99%