Level III One-Day Workshop Syllabus

| New Features in GeneSpring | Statistics and Algorithms | Data Analysis-Level I |
| Data Analysis-Level II | Data Analysis-Level III |
|Dates and Locations|

Prerequisites

Required:
The pace of the workshop assumes users are very comfortable navigating through menus, graphical interface, and know the basics of data analysis. Users should have worked with multiple data sets in GeneSpring.

Recommended:
Attend the Level II Workshop or attend the following online presentations: "Global Error Model", and "Basic Statistics for GeneSpring".

Syllabus

8:30AM	Welcome & Introductions
Early morning	Quick Review: Summary of workflow Gene and sample quality control filtering Find Similar Samples
	Break
Mid morning	Principal Components Analysis PCA on genes PCA on conditions Statistical Analysis 2-way ANOVA
12:00PM	Lunch
Early afternoon	More Clustering Methods k-means Self-Organizing Maps (SOM) QT Clustering
	Break
Late afternoon	Class Prediction Tool: Theory and applications Homology Tool
4:30PM	Class Ends