Some charts require measurements to belong to the same data source group, like Scatter Plots. Measurements with
the same data source group have the same genomic ranges associated to each item in the data, and what differentiates
them are their values. For example, all measurements that measure the expression of genes for different tissue types
belong to the same data source group, affymetrix_probeset
. The same applies for the Gene Expression Barcode samples, which all belong
to the data source group called gexp_barcode
.
optional Filter the displayed measurements to a subset you’re interested in. In the
search boxes you can use regular expressions. For example applying the filter (colon (normal|tumor))
to the name of
the measurements in the heatmap measurements dialog will filter to: colon normal
, colon tumor
, sigmoid_colon normal
,
sigmoid_colon tumor
, sigmoid_colon_mucosa tumor
.
Select the measurements you want to use for the newly created chart. You can use the Shift
or Ctrl
(Mac:
Command
) keys to select multiple measurements. Click Finish.
Some charts require a minimum number of measurements selected. For example, the Scatter Plot requires two. The order
in which you select the measurements is also important! For example, the Scatter Plot will display the first selected
measurement on the X
axis and the second on Y
.
The charts in {{ site.epiviz }} are all resizable, and all feature a number of options, some specific to the chart, some general. In this section we go over a few of them.
Methylation Colon Cancer
, and Methylation Colon Normal
.
Initially, the first measurement is colored blue, and the second, red.Methylation Colon Cancer
to
red
, and Methylation Colon Normal
to green
. Open the Colors dialog, and select the first color, assigned to
Methylation Colon Cancer
; pick a shade of red for it. Then select the second color, assigned to the second
measurement; pick green. Click Ok.