On the importance of block randomisation when designing proteomics experiments

TL;DR

This paper emphasizes the importance of block randomisation in proteomics experiments to prevent sample imbalance and confounders, providing practical guidance on experimental design.

Contribution

It introduces the concept of block randomisation, highlighting its benefits and considerations specifically tailored for proteomics experimental setups.

Findings

Block randomisation reduces sample imbalance.

Proper organisation improves experimental validity.

Guidelines tailored for proteomics are provided.

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.