%polynova_2way: A SAS macro for implementation of mixed models for metabolomics data Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1371/journal.pone.0244013
The generation of large metabolomic data sets has created a high demand for software that can fit statistical models to one-metabolite-at-a-time on hundreds of metabolites. We provide the %polynova_2way macro in SAS to identify metabolites differentially expressed in study designs with a two-way factorial treatment and hierarchical design structure. For each metabolite, the macro calculates the least squares means using a linear mixed model with fixed and random effects, runs a 2-way ANOVA, corrects the P-values for the number of metabolites using the false discovery rate or Bonferroni procedure, and calculate the P-value for the least squares mean differences for each metabolite. Finally, the %polynova_2way macro outputs a table in excel format that combines all the results to facilitate the identification of significant metabolites for each factor. The macro code is freely available in the Supporting Information.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0244013
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244013&type=printable
- OA Status
- gold
- Cited By
- 9
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3110969351
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- OpenAlex ID
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https://openalex.org/W3110969351Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0244013Digital Object Identifier
- Title
-
%polynova_2way: A SAS macro for implementation of mixed models for metabolomics dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-12-15Full publication date if available
- Authors
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Rodrigo Manjarín, Magdalena Maj, Michael R. La Frano, Hunter GlanzList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0244013Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244013&type=printableDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244013&type=printableDirect OA link when available
- Concepts
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Macro, Metabolomics, Metabolite, Computer science, Bonferroni correction, Statistics, Computational biology, Data mining, Mathematics, Bioinformatics, Biology, Biochemistry, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
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2023: 4, 2022: 3, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
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9Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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