Timo Koski
About
Timo Koski has authored 61 papers that have received a total of 642 indexed citations.
This includes 28 papers in Artificial Intelligence, 16 papers in Molecular Biology and 10 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (17 papers), Bayesian Modeling and Causal Inference (10 papers) and Genomics and Phylogenetic Studies (6 papers). Timo Koski is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Bayesian Modeling and Causal Inference (10 papers) and Genomics and Phylogenetic Studies (6 papers) and collaborates with scholars based in Sweden, Finland and Germany. Timo Koski's co-authors include Mats Gyllenberg, Jukka Corander, Helge Gyllenberg, Mark S. Johnson and Martin Verlaan and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology
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