Max Planck Institute for Molecular Genetics
Department of Computational Molecular Biology
Alumn
Doctoral Student
E-mail: rungsari@molgen.mpg.de
Ph.D. Bioinformatics 2007, FU Berlin
Now at Think-cell Software GmbH
Wasinee has a B.Sc. from Carnegie Mellon University and a M.Sc. from Georgia Tech. She worked as a graduate research assistant and later as a Ph.D. student in the algorithmics group. She was admitted to the International Max Planck Research School for Computational Biology and Scientific Computing and the first student to complete the Ph.D. in the IMPRS.
W. Rungsarityotin, R. Krause, A. Schodl, and A. Schliep Identifying protein complexes directly from high-throughput TAP data with Markov random fields. BMC Bioinformatics 2007, Vol. 8, Pages 482
W. Rungsarityotin Algorithms to identify protein complexes from high-throughput data. PhD Thesis 2007
M. Weber, W. Rungsarityotin, and A. Schliep An indicator for the number of modes in a mixture model using a linear map to simplex structure. Proceedings of the GfKl 2005 From Data and Information Analysis to Knowledge Engineering, Pages 103-110, Springer, 2006
A. Schliep, B. Georgi, W. Rungsarityotin, I. G. Costa, and A. Schönhuth The General Hidden Markov Model Library: Analyzing Systems with Unobservable States. Forschung und wissenschaftliches Rechnen: Beiträge zum Heinz-Billing-Preis 2004, Series GWDG-Bericht, Pages 121-135, Gesellschaft für wissenschaftliche Datenverarbeitung 2005
W. Rungsarityotin Graph-based clustering for biological data. Master's Thesis 2004, Free University of Berlin
ProteinComplexes: Delineation of protein complexes in yeast.