Lecture 3: Predictive models in cancer informatics

Lecture 3:
Predictive models in cancer informatics
Jean-Philippe Vert
Mines ParisTech / Curie Institute / Inserm
Paris, France
"Optimization, machine learning and bioinformatics" summer
school, Erice, Sep 9-16, 2010.
JP Vert (ParisTech) 3. Predictive cancer informatics Erice 2010 1 / 46

Outline
1Shrinkage classifiers
2Cancer prognosis from DNA copy number variations
3Diagnosis and prognosis from gene expression data
4Penalties for smooth classifiers
5Penalties for structured feature selection
6Conclusion
JP Vert (ParisTech) 3. Predictive cancer informatics Erice 2010 2 / 46

Outline
1Shrinkage classifiers
2Cancer prognosis from DNA copy number variations
3Diagnosis and prognosis from gene expression data
4Penalties for smooth classifiers
5Penalties for structured feature selection
6Conclusion
JP Vert (ParisTech) 3. Predictive cancer informatics Erice 2010 3 / 46

Molecular diagnosis / prognosis / theragnosis
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Pattern recognition, aka supervised classification
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