Cairns David A, Thompson Douglas, Perkins David N, Stanley Anthea J, Selby Peter J, Banks Rosamonde E
Clinical and Biomedical Proteomics Group, Cancer Research UK Clinical Centre, Leeds Institute of Molecular Medicine, St. James's University Hospital, Leeds, UK.
Proteomics. 2008 Jan;8(1):21-7. doi: 10.1002/pmic.200700598.
Normalisation of data to minimise the impact of technical variation on comparative sample analysis is often carried out. Using SELDI data as a model, we have examined the effects of normalisation by TIC which is commonly used for MS data. Significant intergroup differences in normalisation factor were found for serum profiles which could not be explained by experimental factors, implying that normalisation by TIC may in some situations also normalise biological differences and should be systematically evaluated.
通常会对数据进行归一化处理，以尽量减少技术变异对比较样本分析的影响。以表面增强激光解吸电离（SELDI）数据为模型，我们研究了总离子流（TIC）归一化的效果，TIC常用于质谱数据。在血清谱中发现归一化因子存在显著的组间差异，而这些差异无法用实验因素来解释，这意味着在某些情况下，通过TIC进行归一化也可能会使生物学差异归一化，因此应该进行系统评估。
