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Related Experiment Videos

How to understand a complex reality: statistical issues in microarray experiments. Interview by Nadine Lemmens.

Ulrich Mansmann1

  • 1Hochschuldozent, Institut für Medizinische Biometrie und Informatik, Universitaet Heidelberg, INF 305, 69120 Heidelberg, Germany. mansmann@imbi.uni-heidelberg.de

Pharmacogenomics
|December 20, 2003
PubMed
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Dr. Mansmann

Area of Science:

  • Biostatistics and Medical Informatics
  • Quantitative Methods in Molecular Medicine

Background:

  • Dr. Mansmann leads quantitative methods in molecular medicine research.
  • His work focuses on prognostic models for cancer patients.

Discussion:

  • Emphasis on establishing methodological standards for reproducible research.
  • Involves Bayesian methodology for complex stochastic systems.

Key Insights:

  • Developing advanced prognostic models for cancer.
  • Advancing reproducible research standards in molecular medicine.

Outlook:

  • Further application of Bayesian methods in complex systems.
  • Continued development of predictive cancer models.

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