Visualization of Microarray Data

[dara archana]

[attachment=14587]
Visualization of Microarray Data
Contents:
Introduction
Visualization Methods
Visualization Tools
Comparison between Tools
Experiments
Conclusion
Introduction
Microarray
Advancing with numerous applications in gene expression, genotyping, cell biology.
Helps researchers to
Learn more about diseases.
Study of Cancer.
Overview
Visualization of Microarray Data
Heat Maps
Dendrograms
TreeMaps
Scatter-Plots (2-D/3-D).
Box Plot
Clusterview and Treeview.
organize and analyze the data in many different ways.
visualize the organized data.
Restricted visualization methods.
Hierarchical Clustering Explorer
To control over the data analysis process .
Enables more interaction. Dynamic query controls
Spotfire
the Dynamic Query Control
to visualize the data using a various visualization methods
Provides many interactive functionalities
GeneSpring
interactive clustering the data.
Comparison of Tools
Experiments Conducted
To measure the Insight of each user.
30 participants:
Domain Experts
Domain Novice
Software Developers
Time-Series Data Set
Viral Data Set
Lupus Data Set
Result
Conclusion
Tools work more effectively with certain types of data.
Spotfire and GeneSpring work consistently across different datasets.
HCE performed better with the Time series and Viral datasets