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Contents


Outline

In this section, various tools for visualizing microarray expression data will be introduced. These components will be available whenever a microarray dataset is selected in the Workspace. Available options for each component will be depicted.

The visualizers displayed here are:

  • Microarray Viewer
  • Tabular Microarray Viewer
  • CEL file image viewer
  • Color Mosaic
  • Expression Profiles
  • Scatter Plot

Note - The Expression Value Distribution component has its own tutorial.

The options for several of the components are set from the application toolbar Preferences menu, which will also be explained.

Overview

Visualization tools provide a view of the microarray datasets under investigation and can be used e.g. for ascertaining the quality of the data. Activating marker and array/phenotype sets can be used to restrict the number of markers/arrays displayed. The images created can be saved and exported. A more detailed description of how to manipulate visualization components is given in the online help.


Microarray Viewer

Used to inspect data from each separate microarray using the Array scroll bar. Note that the markers (probes or probesets) are displayed in the order they appear in the dataset, and the image is not a physical representation of the microarray layout. The image can be saved into the Workspace under its parent dataset by right-clicking and selecting Save Image.

The viewing preference shown here is the "relative" display mode. See Preferences for switching between relative and absolute display modes.

Microarray Viewer.png


  • Color gradient - shows the range of colors for the currently selected color display preference.
  • Intensity - allows the intensity of the display to be adjusted.
  • Array - Slider with which to select the array to view. The name of the current array is displayed in the text field to the left.

Tabular Microarray Viewer

Presents the numerical values of the expression measurements in a table format. One row is created per individual marker/probe and one column per microarray.


  • Format
    • Number - display numbers in regular notation.
    • Scientific - display numbers in scientific notation.
  • Decimal Places - choose how many places after the decimal to display. Numbers are rounded to the specified precision.
  • Export - Exports the displayed data to a tab-delimited spreadsheet format file. Note that the tabular viewer respects activated marker and array sets. If marker or array sets in the Markers/Arrays component have been activated, only those markers and/or arrays in the activated sets will be written to the file. This provides an easy way to export a subset of the data.
    • Note - in the exported file, the format choices above are not preserved, and all significant digits are always written.


The Tabular Microarray Viewer using regular number format:


Tabular Microarray Viewer Number.png


The Tabular Microarray Viewer using scientific format:


Tabular Microarray Viewer Scientific.png

CEL file image viewer

The Affymetrix CEL file contains a single intensity value calculated for each probe on the chip. It is derived from the raw image (.dat) file. Individual Affymetrix CEL files can be read into geWorkbench. They are displayed in the CEL file image viewer. This can be used to check for obvious problems such as fingerprints or uneven drying which could affect data quality. Note that is file is not an exact image of the chip, but a reconstructed image at the probe level. The CEL file image viewer component is simply a viewer, it does not permit any operations on the image.


T CEL viewer.png


Color Mosaic

Please see the complete desription of this component in its own section, Color Mosaic.

Heat map for microarray expression data, organized by phenotypic or gene groupings.


Color Mosaic.png

Expression Profiles

The Expression Profiles component requires that a Marker Set be activated. (This is to prevent by default attempting to plot tens of thousands of marker profiles).

For each activated marker, a line showing the expression value vs array is graphed. Each marker is displayed with a separate color line.

  • Plot' - The plot button must be pushed to draw the display.
  • Markers - The number of markers is shown.
  • Light bulb hover icon.png - Hover-text detail on/off - Switch on or off the hover text detail on chart points. When active, the identity of the marker and array at any point can be seen by placing the mouse over a point on the graph. A hover text (shown in figure) will appear.

Expression Profiles.png


  • Right-click menu - A standard chart options menu is shown by right-clicking on the chart.


Expression Profiles right click menu.png

Scatter Plot

A pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values. The first array or marker selected serves as the x-axis reference, shown with a dark background; this can also be set by right-clicking and selecting the x-axis as shown). Subsequent choices are plotted against this reference. Up to six graphs can be displayed. Right-click options are shown in the second picture.

For two arrays, plot markers. No marker set is activated so "All" is the label in the key.


Scatter Plot Arrays.png


For two markers, plot activated arrays. Each activated array set is shown in a different color.


Scatter Plot Markers.png

Preparation

Load a microarray dataset, for example the file Bcell-100.exp that is included in the geWorkbench folder "data/public_data".

Viewing a dataset

  1. In the Visualization Area at the top-right section of the interface, select any viewer described above, for example the Microarray Viewer component.
  2. When no marker or array sets are activated, all markers or arrays, respectively, will be used.
  • This page was last modified on 27 January 2015, at 21:24.
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