On the importance of block randomisation when designing proteomics experiments
Quantitative Methods
2020-07-14 v1 Applications
Abstract
Randomisation is used in experimental design to reduce the prevalence of unanticipated confounders. Complete randomisation can however create unbalanced designs, for example, grouping all samples of the same condition in the same batch. Block randomisation is an approach that can prevent severe imbalances in sample allocation with respect to both known and unknown confounders. This feature provides the reader with an introduction to blocking and randomisation, insights into how to effectively organise samples during experimental design, with special considerations with respect to proteomics.
Keywords
Cite
@article{arxiv.2007.06336,
title = {On the importance of block randomisation when designing proteomics experiments},
author = {Bram Burger and Marc Vaudel and Harald Barsnes},
journal= {arXiv preprint arXiv:2007.06336},
year = {2020}
}
Comments
9 pages, 4 figures