November 2006 - present
Algebraic Bayesian networks for statistical Genomics
Dpt. Matematica Aplicada I, ETSEIB, UPC
Avda. Diagonal 647, 08028-Barcelona
Tel. (+34) 934010940; Fax: (+34) 934011713.
Bioinformatics and Genomics, CRG, PRBB
Tel. (+34) 93 316 0245; Fax: (+34) 93 316 0019
Flanders Interuniversity Institute for Biotechnology (VIB), Department of Plant Systems Biology and Ghent University, Ghent, BE
Marie-Curie postgraduate fellowship, 2006
Application of the Rough Set approach to identifying genes functional classes in Arabidopsis Thaliana; advisor Prof. Martin Kuiper
Biomathematics and Statistics Scotland (BioSS), Edinburgh, UK, Postgraduate project, 2004 - 2005
Determining the Optimal Number of States in Hidden Markov Models with an Application to the Detection of Mosaic Structures in DNA Sequence Alignments; advisor: Dr Dirk Husmeier
Department of Mathematics and Statistics, National University of Ireland, Galway, IE, 2003 - 2004
Bootstrapping Regression Models, M.Sc. thesis advisor: Prof. John Hinde
Department of Mathematics, Faculty of Fundamental Problems of Technology, University of Technology, Wroclaw, PL
M.Sc.Engineering in Mathematical Statistics; 2000 - 2006
IntOGen: Integration and data-mining of multidimensional oncogenomic data;
Gunes Gundem, Christian Perez-Llamas, Alba Jene-Sanz, Anna Kedzierska, Abul Islam, Jordi Deu-Pons, Simon J. Furney and Nuria Lopez-Bigas, Nature Methods (in press)
Gene expression trends and protein features effectively complement each other in gene function prediction;
Wabnik K., Hvidsten T.R., Kedzierska A., Van Leene J., De Jaeger G., Beemster G., Komorowski J. and Kuiper M.
A Heuristic Bayesian Method for Segmenting DNA Sequence Alignments and Detecting Evidence for Recombination and Gene Conversion; Kedzierska A. and Husmeier D.