| Home |
| General Info |
| Overview |
| People |
| Visitor Info |
| Links |
| Impressum |
| Research |
| Topics |
| Publications |
| Awards |
| Education |
| Courses |
| Thesis Projects |
| eLearning |
| Bulletin Board |
| Student Exchange |
| More... |
| News |
| Seminars |
| Events |
| In the Press |
| Jobs |
Statistical Approaches for biological networks
Seminar
Focus of the seminar are statistical inference approaches for
biological networks from high-throughput data. The seminar is open to everybody. I especially invite students interested in systems
biology. Moreover, the seminar is part of the Graduate School
program of the Cluster of Excellence Simulation Technology.
Content of the seminar
- Statistical Bayesian approaches for parameter estimation in biological networks with sparse data
- Network structure learning and model selection with hierarchical models and mixture models
I will give an introductory course about Bayesian learning methods in the beginning of the seminar, in which the
basics for the following talks are provided. Then every participant
presents a research paper that falls within the
scope of the seminar. A list of suggested papers is available
here.
Organisational information
| Time | Preliminary: Thursday, 14:00 - 15:30 |
| Place | Pfaffenwaldring 9, seminar room 3.243 |
For subscription and further information, please contact Nicole Radde.
Universität Stuttgart
|