Omixer: Multivariate Randomization
In molepi/Omixer: Omixer: multivariate and reproducible sample randomization to proactively counter batch effects in omics studies
Description
Omixer provides functions to perform optimal randomization of
sample lists prior to omic profiling. This minimizes the
correlation between biological factors and technical covariates,
whilst ensuring there is insufficient evidence for any of
these associations.
Details
Following this multivariate randomization, Omixer can also be
used to smoothly bridge the gap between dry and wet labs, by
creating visually intuitive sample sheets.
With clear documentation and the possibility to reproduce any
output sample list, Omixer sets the standard for transparency
and reproducibility in this often vague methodological step.
Author(s)
Lucy Sinke l.j.sinke@lumc.nl
molepi/Omixer documentation built on Jan. 28, 2021, 4:56 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Omixer provides functions to perform optimal randomization of sample lists prior to omic profiling. This minimizes the correlation between biological factors and technical covariates, whilst ensuring there is insufficient evidence for any of these associations.
Details
Following this multivariate randomization, Omixer can also be used to smoothly bridge the gap between dry and wet labs, by creating visually intuitive sample sheets.
With clear documentation and the possibility to reproduce any output sample list, Omixer sets the standard for transparency and reproducibility in this often vague methodological step.
Author(s)
Lucy Sinke l.j.sinke@lumc.nl
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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