Expression Value Distribution
|
Home | Quick Start | Basics | Menu Bar | Preferences | Component Configuration Manager | Workspace | Information Panel | Local Data Files | File Formats | caArray | Array Sets | Marker Sets | Microarray Dataset Viewers | Filtering | Normalization | Tutorial Data | geWorkbench-web Tutorials |
Analysis Framework | ANOVA | ARACNe | BLAST | Cellular Networks KnowledgeBase | CeRNA/Hermes Query | Classification (KNN, WV) | Color Mosaic | Consensus Clustering | Cytoscape | Cupid | DeMAND | Expression Value Distribution | Fold-Change | Gene Ontology Term Analysis | Gene Ontology Viewer | GenomeSpace | genSpace | Grid Services | GSEA | Hierarchical Clustering | IDEA | Jmol | K-Means Clustering | LINCS Query | Marker Annotations | MarkUs | Master Regulator Analysis | (MRA-FET Method) | (MRA-MARINa Method) | MatrixREDUCE | MINDy | Pattern Discovery | PCA | Promoter Analysis | Pudge | SAM | Sequence Retriever | SkyBase | SkyLine | SOM | SVM | T-Test | Viper Analysis | Volcano Plot |
Outline
This tutorial will cover:
Overview
The Expression Value Distribution component plots a histogram of expression values versus their frequency of occurence. It is a useful tool for inspecting the data of an array or experiment. It can display results from a single or from multiple arrays. It also allows genes showing expression within a given range of values to be selected through use of range sliders. If the data has been classified into case/control groups, a t-test can be performed within the component. The resulting t-statistics for each gene are then displayed on the same type of histogram.
EVD for the file webmatrix2.exp after quantile normalization and log2 transformat.
Using the EVD component
- Read in a microarray data file such as webmatrix2.exp (see the tutorial data download page).
- View the data in the EVD component.
- ....to be continued!!....
