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designit: Blocking and Randomization for Experimental Design
Intelligently assign samples to batches in order to reduce batch effects. Batch effects can have a significant impact on data analysis, especially when the assignment of samples to batches coincides with the contrast groups being studied. By defining a batch container and a scoring function that reflects the contrasts, this package allows users to assign samples in a way that minimizes the potential impact of batch effects on the comparison of interest. Among other functionality, we provide an implementation for OSAT score by Yan et al. (2012, <doi:10.1186/1471-2164-13-689>).
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Package details |
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| Author | Iakov I. Davydov [aut, cre, cph] (<https://orcid.org/0000-0003-3510-3926>), Juliane Siebourg-Polster [aut, cph] (<https://orcid.org/0000-0002-1759-3223>), Guido Steiner [aut, cph], Konrad Rudolph [ctb] (<https://orcid.org/0000-0002-9866-7051>), Jitao David Zhang [aut, cph] (<https://orcid.org/0000-0002-3085-0909>), Balazs Banfai [aut, cph] (<https://orcid.org/0000-0003-0422-7977>), F. Hoffman-La Roche [cph, fnd] |
| Maintainer | Iakov I. Davydov <iakov.davydov@roche.com> |
| License | MIT + file LICENSE |
| Version | 0.5.0 |
| URL | https://bedapub.github.io/designit/ https://github.com/BEDApub/designit/ |
| Package repository | View on CRAN |
| Installation |
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