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GC/MS Simulated Data Sets normalized using median scaling
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Updated Jan 25, 2017
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EmailClick to copy linkLink copiedCiteDenise Scholtens (2017). GC/MS Simulated Data Sets normalized using median scaling [Dataset]. http://doi.org/10.7910/DVN/OYOLXDCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Unique identifierhttps://doi.org/10.7910/DVN/OYOLXDDataset updatedJan 25, 2017Dataset provided byHarvard DataverseAuthorsDenise ScholtensLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescription1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using median scaling as described in Reisetter et al.
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GC/MS Simulated Data Sets normalized using mean centering
- search.dataone.org
- dataverse.harvard.edu
Updated Nov 21, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteScholtens, Denise (2023). GC/MS Simulated Data Sets normalized using mean centering [Dataset]. http://doi.org/10.7910/DVN/UYO4YFUnique identifierhttps://doi.org/10.7910/DVN/UYO4YFDataset updatedNov 21, 2023Dataset provided byHarvard DataverseAuthorsScholtens, DeniseDescription1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using mean centering as described in Reisetter et al.
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FacebookTwitterEmailCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
1000 simulated data sets stored in a list of R dataframes used in support of Reisetter et al. (submitted) 'Mixture model normalization for non-targeted gas chromatography / mass spectrometry metabolomics data'. These are results after normalization using median scaling as described in Reisetter et al.