Introduction to genome-wide association studies
Prof. Dr. Alexander Bulinski
Time and Place
Lecture (January 13th to February 7th, 2014)
Monday, 8 - 10 am in HeE20
Wednesday, 12 - 2 pm in HeE60
4 hours lecture
Credit points: 2
Stochastics I, Stochastics II
Master students in "Mathematik", "Wirtschaftsmathematik" and "Mathematische Biometrie"; Master students in "Finance"
- Background of genetics.
- Complex diseases risks.
- Multiple comparison procedures.
- Dimensionality reduction of factors (versions of MDR method).
- Classification and regression trees.
- Logic regression and its extensions.
- Random forests techniques.
- Machine learning tools.
- Pathway analysis.
- Random fields employment.
- D.J.Balding, M.Bishop, C.Cannings (Editors). Handbook of Statistical Genetics. vol. 1,2. J.Wiley. 2007.
- A.S.Foulkes. Applied Statistical Genetics with R for Population-based Association Studies. Springer. 2009.
- J.H.Moore, J.C.Dunlap (Editors). Computational Methods for Genetics of ComplexTraits. Acad. Press. 2010.
- B.A.Pierce. Genetics. A Conceptual Approach. W.H.Freeman and Company. 2012.
- G.Zheng, Y.Yang, X.Zhu, R.C.Elston. Analysis of Genetic Association Studies. Springer. 2012.
- Alexander Bulinski
- office hours: on appointment
- phone: tba