Find out how Gene Expression Explorer adds value to your operation
With Qlucore GEE the biologist can make the analysis
By combining powerful visualization and filtering options with ease of use and immediate response the biologist can do analysis on her own. This allows the person with most biological insight to study the data without having to be a statistics or computer expert. The software is so fast that very large data sets can be handled on a normal modern PC.
With Qlucore GEE the results are presented to me directly
The filtering and selection options in GEE gives instant feedback and you can dynamically se how p-values and q-values (False discovery rate) is updated. As soon as you find something of interest you also receive feedback on the statistical significance.
With Qlucore GEE the overall project time can be shortened
Easy hands-on analysis of data early on in the project can clearly show the healthiness of data. The overall software performance shortens the analysis time. More time is spent on real analysis instead of configuring tools. By transferring more of the analysis to the biologist less people can be involved in a project and less time is spent on coordination.
With Qlucore GEE the focus is moved to finding new results
With the freedom, speed and flexibility of the software it is possible to evaluate and test a number of different scenarios and hypothesis in a short time. This will move the focus to what is important – understanding data. It will also be possible for one user to combine larger amounts of data and hence conduct analysis in ways not possible before.
Qlucore GEE increase cross-functional communication in the organization
All results are presented in easy to communicate plots and films. Through visualization it is easy to share results. The speed of the software allows the user to show several alternative scenarios in just a few seconds
Qlucore GEE leverage earlier investments
Many organizations have invested huge amount of money in previous studies. With Qlcuore GEE it is easy to re-analyze and also combine data from different studies and hence benefit from already made investments.