4 datasets found
  1. f

    Additional file 2 of Thresher: determining the number of clusters while...

    • springernature.figshare.com
    zip
    Updated Jun 3, 2023
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    Min Wang; Zachary B. Abrams; Steven M. Kornblau; Kevin R. Coombes (2023). Additional file 2 of Thresher: determining the number of clusters while removing outliers [Dataset]. http://doi.org/10.6084/m9.figshare.5768622.v1
    Explore at:
    zipAvailable download formats
    Unique identifier
    https://doi.org/10.6084/m9.figshare.5768622.v1
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    figshare
    Authors
    Min Wang; Zachary B. Abrams; Steven M. Kornblau; Kevin R. Coombes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    R Code for Analyses. This is a zip file containing all of the R code used to perform simulations and to analyze the breast cancer data. (ZIP 407 kb)

  2. Causal effect estimates using Radial MVMR with and without outlier removal...

    • plos.figshare.com
    xls
    Updated Dec 30, 2024
    + more versions
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    Wes Spiller; Jack Bowden; Eleanor Sanderson (2024). Causal effect estimates using Radial MVMR with and without outlier removal with varying levels of balanced pleiotropy. [Dataset]. http://doi.org/10.1371/journal.pgen.1011506.t002
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pgen.1011506.t002
    Dataset updated
    Dec 30, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wes Spiller; Jack Bowden; Eleanor Sanderson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Causal effect estimates using Radial MVMR with and without outlier removal with varying levels of balanced pleiotropy.

  3. MLR models of age at onset of T1D after removing outliers (N = 354).

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Ahood Alazwari; Mali Abdollahian; Laleh Tafakori; Alice Johnstone; Rahma A. Alshumrani; Manal T. Alhelal; Abdulhameed Y. Alsaheel; Eman S. Almoosa; Aseel R. Alkhaldi (2023). MLR models of age at onset of T1D after removing outliers (N = 354). [Dataset]. http://doi.org/10.1371/journal.pone.0264118.t006
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0264118.t006
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ahood Alazwari; Mali Abdollahian; Laleh Tafakori; Alice Johnstone; Rahma A. Alshumrani; Manal T. Alhelal; Abdulhameed Y. Alsaheel; Eman S. Almoosa; Aseel R. Alkhaldi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    MLR models of age at onset of T1D after removing outliers (N = 354).

  4. f

    RRegrs study for Growth Yield

    • figshare.com
    txt
    Updated Jun 5, 2016
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    Cristian Robert Munteanu (2016). RRegrs study for Growth Yield [Dataset]. http://doi.org/10.6084/m9.figshare.3409804.v2
    Explore at:
    txtAvailable download formats
    Unique identifier
    https://doi.org/10.6084/m9.figshare.3409804.v2
    Dataset updated
    Jun 5, 2016
    Dataset provided by
    figshare
    Authors
    Cristian Robert Munteanu
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    RRegrs study for Growth Yield for original and corrected/filterred datasets: inputs training and test files, R scripts to split the datasets, plot for outlier removal.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Click to copy link
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Close
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Min Wang; Zachary B. Abrams; Steven M. Kornblau; Kevin R. Coombes (2023). Additional file 2 of Thresher: determining the number of clusters while removing outliers [Dataset]. http://doi.org/10.6084/m9.figshare.5768622.v1

Additional file 2 of Thresher: determining the number of clusters while removing outliers

Related Article
Explore at:
zipAvailable download formats
Unique identifier
https://doi.org/10.6084/m9.figshare.5768622.v1
Dataset updated
Jun 3, 2023
Dataset provided by
figshare
Authors
Min Wang; Zachary B. Abrams; Steven M. Kornblau; Kevin R. Coombes
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

R Code for Analyses. This is a zip file containing all of the R code used to perform simulations and to analyze the breast cancer data. (ZIP 407 kb)

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