论文标题
设计蛋白质组学实验时块随机化的重要性
On the importance of block randomisation when designing proteomics experiments
论文作者
论文摘要
随机化用于实验设计，以降低意外混杂因素的流行率。但是，完整的随机化可以创建不平衡的设计，例如，在同一批次中将所有相同条件的样本分组。块随机化是一种可以防止相对于已知和未知混杂因素的样本分配严重失衡的方法。此功能为读者提供了阻塞和随机性的介绍，有关如何在实验设计过程中有效组织样品的见解，并具有有关蛋白质组学的特殊考虑。
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.
