designit-package

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, tools:::Rd_expr_doi("10.1186/1471-2164-13-689") ). package

See Also

Useful links:

• https://bedapub.github.io/designit/
• https://github.com/BEDApub/designit/
• Report bugs at https://github.com/BEDApub/designit/issues

Author(s)

Maintainer : Iakov I. Davydov iakov.davydov@roche.com (ORCID) [copyright holder]

Authors:

• Juliane Siebourg-Polster juliane.siebourg-polster@roche.com (ORCID) [copyright holder]
• Guido Steiner guido.steiner@roche.com [copyright holder]
• Jitao David Zhang jitao_david.zhang@roche.com (ORCID) [copyright holder]
• Balazs Banfai balazs.banfai@roche.com (ORCID) [copyright holder]

Other contributors:

• Konrad Rudolph konrad.rudolph@roche.com (ORCID) [contributor]
• F. Hoffman-La Roche [copyright holder, funder]