Qlucore Gene Expression Explorer 1.0
- GEE supports Dynamic Principal Component Analysis (PCA) and generates plots faster than any other tool
- GEE works in full real time with 3D presentation of all data
- GEE supports the user to explore the data by changing filters and parameters with only one mouse click
- GEE only requires a normal PC to handle huge data sets (more than 100 million entries) in real time
System Requirements
Gene Expression Explorer requires:
- Windows 2000 or Windows XP
- 512 MB of RAM memory
Gene Expression Explorer 1.0 takes full advantage of processors with multiple cores and computers with multiple processors.
Main functionality
- Create Principal Component Analysis PCA plots of large data sets (for instance 100 samples and 100,000 variables) on an ordinary PC
- Change parameters at any time with a single mouse click, and automatically get an updated plot immediately (in <0.1s)
- A simple and intuitive user interface
Output
- High quality 3-D graphics
- Plot arbitrary principal components
- Plot both samples and variables
- Synchronized plots
- Color the samples and the variables through different methods
- Label the samples and the variables through different methods
Selection
- Work with subsets of the samples and the variables
- Select samples based on clinical variables and other annotations
- Select variables based on variance, ANOVA, correlation coefficients, annotation text searches and imported variable lists (such as pathways).
Editing of data
- Interactive editing of sample annotations
- Interactive editing of variable lists
Verification
- Verify results by redoing the analysis with permuted sample annotations or with random numbers
- Verify results through remove-one-at-a-time cross validation
Clusters
- Visualize sample clusters by connecting each sample with its nearest neighbors
- Visualize variable clusters by connecting correlated variables
Import
- Data files
- Variable lists
- The complete state of the program
Export
- Data files
- Variable lists
- Still images
- Videos
- The complete state of the program
Other
- Missing value reconstruction
- Variable normalization
- Multi-dimensional rescaling
- ISOMAP