Spotfire II
CME Credits: 0
Target Audience:
Faculty, researchers, staff and students who are interested in the Gene Expression data analysis tool.
Prerequisite:
None
Description:
This is the second course in a two-session course, with each session will lasting three and half hours. Session I will focus on the core capabilities of Spotfrie DecisionSite for Functional Genomics, which includes interactive visualizations, 3-D scatter plots, pie charts, bar charts, line charts, profile charts, heat map, and data filtering methods. Session II will cover the statistical capabilities of Spotfire DecisionSite for Functional Genomics, including data processing and normalization, pattern detection, and treatment comparisons. Additional statistics capabilities including chi-square test, summary statistics tables and box plots will also be discussed.
Goals:
Spotfire DecisonSite provides an interactive, visual approach to data analysis that empowers individuals to quickly and easily see trends, patterns, outliers and unanticipated relationships in data.
Objectives:
To present the core functionalities of Spotfire DecisionSite and provide different similarity searching methods and statistical functionalities.
Intended Results:
- Be familiar with the data processing and normalization methods.
- Perform profile searching based on a pattern in the dataset or the pattern of the average of group of profiles.
- Perform K-means clustering analysis and examine the result.
- Perform hierarchical clustering analysis and examine the result.
- Perform PCA and verify the clustering results.
- Be familiar with summary statistics, Box plot, two t-test and one-way ANOVA analysis.
