Calculating and Reporting Coefficients of Variation for DIA-Based Proteomics Article Swipe
Alejandro J. Brenes
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acs.jproteome.4c00461
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acs.jproteome.4c00461
The coefficient of variation (CV) is a measure that is frequently used to assess data dispersion for mass spectrometry-based proteomics. In the current era of burgeoning technical developments, there has been an increased focus on using CVs to measure the quantitative precision of new methods. Thus, it has also become important to define a set of guidelines on how to calculate and report the CVs. This perspective shows the effects that the CV equation, data normalization as well as software parameters, can have on data dispersion and CVs, highlighting the importance of reporting all these variables within the methods section. It also proposes a set of recommendations to calculate and report CVs for technical studies, where the main objective is to benchmark technical developments with a focus on precision. To assist in this process, a novel R package to calculate CVs (proteomicsCV) is also included.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1021/acs.jproteome.4c00461
- OA Status
- hybrid
- Cited By
- 15
- References
- 23
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404627873Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1021/acs.jproteome.4c00461Digital Object Identifier
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Calculating and Reporting Coefficients of Variation for DIA-Based ProteomicsWork title
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reviewOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-11-22Full publication date if available
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Alejandro J. BrenesList of authors in order
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https://doi.org/10.1021/acs.jproteome.4c00461Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1021/acs.jproteome.4c00461Direct OA link when available
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Normalization (sociology), Data set, Computer science, Benchmark (surveying), Data mining, Set (abstract data type), Artificial intelligence, Geography, Programming language, Sociology, Anthropology, GeodesyTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 15Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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