Mann R C
Cytometry. 1987 Mar;8(2):184-9. doi: 10.1002/cyto.990080211.
Increasing numbers of parameters that are accessible to simultaneous measurement in flow cytometric instruments, combined with the extremely large sample sizes common in flow cytometry, make it necessary to examine methods of multivariate statistics for their applicability to problems of visualization and quantitative analysis of flow cytometric data. This article describes some approaches to dimensionality reduction that appear well suited for data sets obtained by flow cytometry.
流式细胞仪中可同时测量的参数数量不断增加，再加上流式细胞术中常见的极大样本量，使得有必要研究多元统计方法在流式细胞术数据可视化和定量分析问题中的适用性。本文介绍了一些降维方法，这些方法似乎非常适合通过流式细胞术获得的数据集。
