Patrik Waldmann
Associate professor, Docent
Research interests:
- Statistical genetics and bioinformatics
- High dimensional data analysis and statistical machine learning
- Bayesian statistics
Selected publications:
Sillanpaa, MJ; Pikkuhookana, P; Abrahamsson, S; Knurr, T; Fries, A; Lerceteau, E; Waldmann, P; Garcia-Gil, MR. 2012. Simultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modeling. HEREDITY 108: 134-146. doi: 10.1038/hdy.2011.56
Hallander, J; Waldmann, P; Wang, CK; Sillanpaa, MJ. 2010.
Bayesian inference of genetic
parameters based on conditional decompositions of multivariate normal
distributions. GENETICS
185: 645-654. doi: 10.1534/genetics.110.114249
Banerjee, S; Finley, AO; Waldmann, P; Ericsson, T. 2010. Hierarchical spatial process models for multiple traits in large genetic trials. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 105: 506-521. doi: 10.1198/jasa.2009.ap09068
Finley,
AO; Banerjee, S; Waldmann, P; Ericsson, T. 2009. Hierarchical spatial modeling
of additive and dominance genetic variance for large spatial trial datasets.
BIOMETRICS 65: 441-451. doi: 10.1111/j.1541-0420.2008.01115.x
Waldmann, P; Hallander, J; Hoti, F; Sillanpaa, MJ. 2008.
Efficient Markov chain Monte
Carlo implementation of Bayesian analysis of additive and dominance genetic
variances in noninbred pedigrees. GENETICS 179: 1101-1112. doi:
10.1534/genetics.107.084160
Corander, J; Waldmann, P; Sillanpaa, MJ. 2003. Bayesian analysis of genetic differentiation between populations. GENETICS 163: 367-374.