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Synchronized plots of samples and variables
The genes highly expressed for a group of samples is positioned in the same place in space as the group of samples.

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Finding discriminating variables
By easily scrolling on the ANOVA bar you can select the variables (genes) that are the best discriminators for the three classes (sample groups). To the left, the three classes E2A/PBX1 (blue), MLL (mauve), and TEL/AML1 (green) are displayed. To the right, the genes obtained through the interactive ANOVA analysis are shown. The genes with a more intense red colour are the best discriminators.

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Using isomap to identify groups
With only one key press an isomap graph is created. This is a good method to identify groups. The identified groups very well matches the coloring, which is done based on an annotation.

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Finding correlated variables
By a mouse click on any variable both the positively and negatively correlated variables can be found. When the correlation coefficient slider is changed the plot is instantly updated.

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Label interesting samples and genes
Each sample or variable can be marked and labelled with any annotation. This is valuable when results shall be communicated.

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Connect variables with graph function
Connect samples and variables to find clusters and groups. In the right plot, each variable has been connected with its two nearest neighbours.

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Synchronized sample plots with different annotations
Coloring two or more  synchronized sample plots based on different annotations helps in analysing data.

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Higher order PCA components
Through one mouse click it is possible to select higher order PCA components.

Screen shots

Below you find a number of screen shots from Qlucore Gene Expression Explorer. Click on a thumbnail and explore the user interface.

Screendump-GEE10-Synchronized-samples-and-variables(2)

Synchronized plots of samples and variables

Screendump-GEE10-Finding-variables-which-best-discriminates-groups-1-step-2(2)

Finding discriminating variables

Screendump-GEE10-Using-Isomap-to-identify-groups(2)

Using isomap to identify groups

Screendump-GEE10-Finding-correlated-variables-to-one-highy-expressed-in-blue-group(2)

Finding correlated variables

Screendump-GEE10-showing-label-function(2)

Label interesting samples and genes

Screendump-GEE10-showing-graphs-for-variables(2)

Connect variables with graph function

Screendump-GEE10-colouring-using-different-annotations-in-paralell(2)

Synchronized sample plots with different annotations 

Screendump-GEE10-higher-order-PCA-components(2)

Higher order PCA components