STAT598N • Statistics
in Systems Biology
Overview | Course Requirements |
Schedule of Readings
Spring 2009 •
Tuesday-Thursday 12:00-1:15pm •
REC 117
Instructor: Yuan (Alan) Qi
Prerequisites: Basic
statistics and introductory biology or permission of
instructor.
Content description: This
seminar course will include
presentations of readings by students (and guest lectures).
Students will be expected to
present at least one
major paper during the term. This course covers statistical learning
algorithms for computational and systems biology and studies important
research
problems in these areas, with a focus on biogical network modeling and
analysis.
Tentative topics include:
* Biological problems including motif discovery, gene expression
analysis, biological network reconstruction, network analysis,
metagenomics analysis, and phylogenetics.
* Fundamental algorithmic techniques including expectation
maximization, hidden Markov models, clustering, Bayesian networks,
Markov networks, and approximate inference on graphical models.
Grading
- Class participation: 15%
- Class presentations: 25%
- Papers evaluations: 30%
- Research project: 30%
- Preliminary report: 5%
- Class presentation: 10%
- Final report: 15%