Seminar on Statistical Biology - Topical Focus: Inference problems in physics and biology
Johannes Berg, Joachim Krug, Michael Lässig
Statistical physics describes interacting systems of many degrees of
freedom. Tools and concepts of statistical physics find application
beyond the traditional realm of physics. A growing focus is the modeling and
analysis of
biological systems. Topic of this seminar is inference problems in
different areas of biological modelling and their connection with
statistical mechanics.
- Bayesian statistics and inference (27.10 Daniel Klemmer JB)
- The Ising model and Boltzmann machines (10.11 Torsten Held ML)
- Mean field approximations (24.11 Stefan Bittihn JB)
- Bethe-Peierls approximation and message passing (8.12. Prasanna Bhogale JB)
- Maximum entropy methods (15.12 Miquel Masoliver JK)
- Inference of gene regulatory connections (12.1. Mohammadamin Abbasloo JK)
- Inference of neural connections (19.1 Johannes Neidhardt JK)
- Genome inference problems ML
- Inference of protein structure ML
Schedule
Thursday 12:00, Conference Room Theoretical Physics
The first meeting is Thursday 13.10.
The first meeting is Thursday 13.10.
Literature
R Durbin, S Eddy, A Krogh G Mitchison Biological Sequence Analysis:
Probabilistic Models of Proteins and Nucleic Acids, CUP
D. McKay, Information Theory, Inference, and Learning Algorithms, CUP
D. McKay, Information Theory, Inference, and Learning Algorithms, CUP
The picture above, created by Claudio Rocchini, illustrates the
concept of node betweenness on a graph. See here for
details and licensing.
