Computer Science and Engineering
 Gothenburg University | Chalmers

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Wasinee Rungsarityotin

Doctoral Student

Ph.D. Bioinformatics, Nov. 2007, Freie Universität Berlin.<br> Now at Valuephone 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.

Recent publications

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, 8, 482.

W. Rungsarityotin Algorithms to identify protein complexes from high-throughput data. Ph.D. Thesis, Freie Universität Berlin, Nov 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. In From Data and Information Analysis to Knowledge Engineering, Springer, 103–110, 2006. Proceedings of the GfKl 2005.

A. Schliep, B. Georgi, W. Rungsarityotin, I.G. Costa and A. Schönhuth The General Hidden Markov Model Library: Analyzing Systems with Unobservable States. In Forschung und wissenschaftliches Rechnen: Beiträge zum Heinz-Billing-Preis 2004, Gesellschaft für wissenschaftliche Datenverarbeitung, 121–135, 2005.

W. Rungsarityotin Graph-based clustering for biological data. Master's Thesis, Freie Universität Berlin, 2004.

Project lead

ProteinComplexes: Delineation of protein complexes in yeast.