Machine Learning (ML)

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Why Machine Learning?

Meet the Fish Counter.

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Machine Learning Overview

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2 broad types

Outcomes is category: Fish Lady

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BioConductor Package: MLInterfaces

  • Excellent tutorial/introduction to ML for categorical outcomes
  • A unified environment to perform many different types of methodologies
  • Start with a very simple exampe: crabs dataset

alt text Using various crabs’ body measurements to separate Male/Female Blue/Orange crabs

  • Microarray Example: identify expression patterns that discriminate individual with BCR/ABL fusion in B-cell Leukemia
    • Click Reference for the full article
    • Sabina Chiaretti, Xiaochun Li, Robert Gentleman, Antonella Vitale, Marco Vignetti, Franco Man- delli, Jerome Ritz, and Robin Foa Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival. Blood, 1 April 2004, Vol. 103, No. 7

I hightly encourage you to go through the tutorial

Outcomes is continuous:

We will learn this using this study

Challenge Design Overview