Gilks W R, Stahel R A, Walker N, Schenker T
Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK.
Int J Cancer Suppl. 1994;8:2-5. doi: 10.1002/ijc.2910570703.
The main aim of the statistical analysis of data collected in the Third International IALSC Workshop on Lung Tumor and Differentiation Antigens, was to identify groups of monoclonal antibodies (MAbs) having similar profiles of reactivity against a variety of cell types in flow cytometry, histology, immunofluorescence and immunocytochemistry experiments. This was achieved through cluster analysis. We describe the methods used in the cluster analysis, and in the data processing leading to it.
在第三届国际肺肿瘤与分化抗原IALSC研讨会上收集的数据进行统计分析的主要目的，是在流式细胞术、组织学、免疫荧光和免疫细胞化学实验中，识别出对多种细胞类型具有相似反应性谱的单克隆抗体（MAb）组。这是通过聚类分析实现的。我们描述了聚类分析中以及导致该分析的数据处理中所使用的方法。
