一旦一个K-means转换被用到点图中，新创建的以下集群分配参数中创建可以通过单击图29的坐标轴标签来访问。28请注意：热图仅能显示集群分配参数当k-means转换被应用时，会自动显示集群分配参数。

 

Figure 29.34 Newly created pareameters can be accessed by clicking on the axis label of the plot of interest. 

Figure 29.34 Newly created pareameters can be accessed by clicking on the axis label of the plot of interest. 

 

 

Gates(门)可以在以下集群分配参数中创建以便在一个或多个集群中选择事件

•集群分配参数(热图)，
•直方图(一维或二维点图)，
•Gaussian CV SSE Scaled(一维或二维点图)，
•Gaussian CV Unscaled(一维或二维点图)，

 

这些门可以被用于反圈非集群参数的细胞群。

 

下面是使用上述参数的集群选择的一些示例

 

→1D Plots(一维绘图)→

可以在显示集群参数的一维图上创建标记，就像在非集群参数上一样。在把标记转换为门以后可以使用该标记来支持非集群参数的细胞群。(图2929).

 

Figure 29.35. Markers can be used to select cluster on 1D plot displaying a clustering parameter. Gate 1 was defined on a density plot and events within it have been clustered. Gate 1 has also been then applied to the k-means transformed histogram. Markers from the histogram were converted to gates and back gated onto the CD4 vs CD3 dot plot.

Figure 29.35. Markers can be used to select cluster on 1D plot displaying a clustering parameter. Gate 1 was defined on a density plot and events within it have been clustered. Gate 1 has also been then applied to the k-means transformed histogram. Markers from the histogram were converted to gates and back gated onto the CD4 vs CD3 dot plot.

 

→2D Plots(一维绘图)→

可以在二维图上创建门以展示集群参数，就像可以在二维图上可以创建门以展示非集群参数一样。在下面例子中，可以在二维如上创建门以在X轴和Y轴上显示集群参数，但是集群参数能够同非集群参数一起显示。(图2930).

 

Figure 29.36. Gates can be used to select clusters on 2D plot displaying one or more clustering parameters.

Figure 29.36. Gates can be used to select clusters on 2D plot displaying one or more clustering parameters.

 

 

热图

当一个转换应用到它们的时候，集群分配就会自动显示在热图上。Well Gates(微孔门)能够用来选择一个或多个集群(如：微孔)，：再用于后续的分析。在下面的例子中(图2931在集群2和集群3上创建了两个微孔门(微孔门2在热图上被标注为红色)。

 

Figure 29.37. Well gates can be used to select clusters on heatmaps.

Figure 29.37. Well gates can be used to select clusters on heatmaps.

 

 

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