Difference between revisions of "Components"
| Line 7: | Line 7: | ||
* Analysis (Hierarchical Clustering, SOM, T-Test, Multi T-Test) | * Analysis (Hierarchical Clustering, SOM, T-Test, Multi T-Test) | ||
* Filtering (Deviation, Affy detection call, Expression threshold, Genepix Flags, Missing values, 2 channel) | * Filtering (Deviation, Affy detection call, Expression threshold, Genepix Flags, Missing values, 2 channel) | ||
| − | + | * Normalization (Housekeeping, Log2 transform, Marker based centering, Mean variance, Array based centering, Missing value, Threshold, Quantile) | |
==== Minor Components ==== | ==== Minor Components ==== | ||
| Line 13: | Line 13: | ||
* Dataset Annotation | * Dataset Annotation | ||
* Dataset history | * Dataset history | ||
| + | * Experiment info | ||
=== Additional Components (that pass the [[Plugin certification checklist]]) === | === Additional Components (that pass the [[Plugin certification checklist]]) === | ||
| Line 21: | Line 22: | ||
* Associations (Interface needs to be standardized) | * Associations (Interface needs to be standardized) | ||
* caScript (Not yet complete) | * caScript (Not yet complete) | ||
| + | * Synteny parameters (Does not generate proper dataset subnodes) | ||
Revision as of 16:12, 2 January 2006
Contents
[hide]geWorkBench Component List and Status
Core Components (bundled with main application)
Major Components
- Analysis (Hierarchical Clustering, SOM, T-Test, Multi T-Test)
- Filtering (Deviation, Affy detection call, Expression threshold, Genepix Flags, Missing values, 2 channel)
- Normalization (Housekeeping, Log2 transform, Marker based centering, Mean variance, Array based centering, Missing value, Threshold, Quantile)
Minor Components
- Dataset Annotation
- Dataset history
- Experiment info
Additional Components (that pass the Plugin certification checklist)
Components that do not yet pass the Plugin certification checklist
- Associations (Interface needs to be standardized)
- caScript (Not yet complete)
- Synteny parameters (Does not generate proper dataset subnodes)
