Wolfgang Lehrach
POST DOC RESEARCHER
.
I'm part of the Cambridge Bioinformatics group, a part of the Machine Learning And Perception Group. My main project is Integrating Functional Genomics data with Genetics to Help Understand Human Disease, a collaboration with the Sanger Institute.
Publications
- Lehrach W.P. and Husmeier D., Segmenting bacterial and viral DNA sequence alignments with a trans-dimensional phylogenetic factorial hidden Markov model, in Applied Statistics , vol. 58, no. 3, pp. 307 - 327, 2009
- Wolfgang Lehrach, Bayesian machine learning methods for predicting protein-peptide interactions and detecting mosaic structures in DNA sequences alignments, 2008
- Lehrach W. P., Husmeier D., and Williams C. K. I., A regularized discriminative model for the prediction of protein-peptide interactions , in Bioinformatics, vol. 22, no. 5, pp. 532-540, 2006
- W. P. Lehrach and D. Husmeier, Probabilistic in Silico Prediction of Protein-Peptide Interactions., Springer Verlag, 2006
