Analyzing Microarray Gene Expression Data

Analyzing
Microarray Gene Expression Data

Bioinformatics and Life Sciences

Affymetrix Microarrays

Microarrays: An Example

Potential Applications

Microarray Data Analysis Types

Microarray Data Mining Challenges

Data Mining Methodology is Critical!

SPSS Clementine

Clementine Streams

CATs

CATs: Clementine Application Templates

Building Classification Models

Data Normalization Issues

Data Preparation

Why Separate Feature selection ?

Feature selection approach

Heatmap Visualization of selected fields

Controlling False Positives

Controlling False Positives with Randomization

Controlling false positives with randomization, II

Classification

Popular Classification Methods

Model-building Methodology

Gene subset selection by x-validation

Selecting the best gene set

Final Evaluation on test data

Results on the test data

Classification - other applications

Classification: Multi-Class

Multi-class Data Example

Brain data results

Clustering

SOM clustering

SOM results

Future directions

Summary

Thank you!