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Home Rätsch Lab Talks & Lectures Lecture on Advanced Methods for Sequence Analysis WS07/08

Lecture on Advanced Methods for Sequence Analysis WS07/08

In this lecture series, we present machine learning approaches to sequence analysis. Students will learn about state of the art methods such as the support vector machine and boosting and how to apply them in the context of biological sequences.

Students of Bioinformatics and Computer Science interested in (a) an overview of general and efficient algorithms for statistical learning used in computational biology, (b) sequence kernels for the problems such as promoter or splice site detection and (c) cutting edge methods for predicting structured outputs and obtaining interpretable classifiers. No specific knowledge will be required, but students are expected to have some mathematical maturity.

Tutorial/Practical Sessions

  • (8 Nov 07) Practical Session - Room A104, 14-17pm
  • (29 Nov 07) Practical Session - Room C118a, Sand14, 15-18pm
  • (10 Jan 08) Practical Session - Room A104, 14-17pm
  • (14 Feb 08) Practical Session - Room A104, 14-17pm

For the computer practicals, we are using python. To install python (we recommend python2.5), see the following:

Please also have the following packages installed:

Official Information

People:

  • Gunnar Raetsch, Cheng Soon Ong, Petra Philips
  • Friedrich Miescher Laboratory of the Max Planck Society
  • Max Planck Institute for Biological Cybernetics
  • Contact: amsa07@tuebingen.mpg.de

Place:

  • Lectures: Tue 14-16, am Sand, A302
  • Practical Sessions: A104 (8.11, 10.1, 14.2, 14-17pm); C118a (29.11, 15-18pm)

Exam:

  • Oral exam in mid February 2007, register by 31 January 2007.
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