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A new task node is generated with the Feature distribution report (Figure 1).

The Feature distribution task report plots the distribution all genes in the input data node with one feature per row (Figure 2). Features are ordered by by average value in descending order. 

The plot can be configured using the panel of the left-hand side of the page. 

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The Manual filter lets you type a feature ID (such as a gene symbol) and filter to matching features by clicking . You can add multiple feature IDs to filter to multiple features (Figure 3). 

The List filter lets you filter to the features included in a feature list. To learn more about how to add feature lists in Partek Flow, please see List management. 

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Distributions can be plotted as histograms (Figure 4), with the x-axis being the expression value and the y-axis the frequency, or as a strip plot (Figure 5), where the x-axis is the expression value and the position of each cell/sample is shown as a thin vertical line, or strip, on the plot. 

To switch between plot types, use the Plot type radio buttons. 

Mousing over a dot in the histogram plot gives the the range of feature values that are being binned to generate the dot and the number of cells/features for that bin in a pop-up. 

Mousing over a strip shows the sample ID and feature value in a pop-up. If there are multiple cells/samples with the same value, only one strip will be visible for those cells/samples and the mouse-over will indicate how many cells/samples are represented by that one strip. Clicking a strip will highlight that cell/sample in all of the plots on the page. The dot in each strip plot shows the median value for that feature. 

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The number of feature plots that appear on each page is set by the Items per page drop-down menu (Figure 6). You can choose to show 10, 25, or 50 feature per page. 

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For histogram plots, the histograms will be split and colored by the levels of the selected attribute (Figure 7). You can choose any categorical attribute. 

For strip plots, the sample/cell strips will be colored by the the levels or values of the selected attribute (Figure 8). You can choose any categorical or numeric attribute. 

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