This chapter contains the following main sections:

• Problem Description and Objectives
  • Brief Background on Microarray Experiments
  • The ALL Dataset
• The Available Data
  • Exploring the Dataset
• Gene (Feature) Selection
  • Simple Filters Based on Distribution Properties
  • ANOVA Filters
  • Filtering Using Random Forests
  • Filtering Using Feature Clustering Ensembles
• Predicting Cytogenetic Abnormalities
  • Defining the Prediction Task
  • The Evaluation Metric
  • The Experimental Procedure
  • The Modeling Techniques
  • Comparing the Models
• Summary