Screendump-GEE10-Synchronized-samples-and-variables(1)
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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Screendump-GEE10-Finding-variables-which-best-discriminates-groups-1-step-2(1)
Finding discriminating variables
The shown variables (genes) in the right part of the plot are all selected using ANOVA filtering to be good discriminators for the three shown groups in the left plot. The genes with the color red are the best discriminators.
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Screendump-GEE10-Using-Isomap-to-identify-groups(1)
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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The fastest way to new discoveries

Qlucore Gene Expression Explorer software - when bioinformatics becomes intuitive

Find patterns and structures in large data sets, without the help of a statistics expert.

Quickly visualize and explore large data sets such as

  • Gene Expression data; microarray, microRNA and PCR
  • Protein array data    
  • Any dataset of multivariate data of sizes up to 1000 samples and 100,000 variables
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Example screenshots

Screendump-GEE10-Synchronized-samples-and-variablesScreendump-GEE10-Finding-variables-which-best-discriminates-groups-1-step-2Screendump-GEE10-Using-Isomap-to-identify-groups
Synchronized plotsFinding discriminating variablesUsing isomap to identify groups