van den Engh G, Hanson D, Trask B
Biomedical Sciences Division, Lawrence Livermore National Laboratory, California 94550.
Cytometry. 1990;11(1):173-83. doi: 10.1002/cyto.990110120.
This article describes a computer program for analyzing bivariate flow karyotypes of human chromosomes stained with Hoechst 33258 (HO) and chromomycin A3 (CA). The karyotype first is divided into regions that contain chromosome peaks. The chromosomes that are associated with those areas are identified. The distributions in these areas then are fitted with mathematical functions of increasing complexity. The process starts by fitting a specified number of univariate Gauss functions to projections of the HO and CA distributions of each area. The final fit can include multiple bivariate Gauss functions, including a background function for debris subtraction. The results of one stage in the fitting process serve as seed values for the next, more complex step. Since the program autonomously estimates the starting values for the iterative fitting procedures, the fit results are insensitive to operator bias and the program will consistently converge to the same solutions. The resulting table of parameter values can be used to compare flow karyotypes to a reference data set.
本文介绍了一种计算机程序，用于分析用Hoechst 33258（HO）和放线菌素A3（CA）染色的人类染色体的双变量流式核型。首先将核型划分为包含染色体峰的区域。识别与这些区域相关的染色体。然后用复杂度不断增加的数学函数拟合这些区域中的分布。该过程首先对每个区域的HO和CA分布的投影拟合指定数量的单变量高斯函数。最终拟合可以包括多个双变量高斯函数，包括用于去除碎片的背景函数。拟合过程中一个阶段的结果用作下一个更复杂步骤的种子值。由于该程序自主估计迭代拟合过程的起始值，因此拟合结果对操作员偏差不敏感，并且该程序将始终收敛到相同的解。所得的参数值表可用于将流式核型与参考数据集进行比较。
