Algorithms and models for the life sciences


Publications:
  • John Lang, Daniel Abrams, and Hans De Sterck, 'The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking', BMC Public Health 15:1280, 2015. [arXiv link] [online version (open access)]
  • Yasunori Aoki, Ken Hayami, Hans De Sterck, and Akihiko Konagaya, 'Cluster Newton Method for Sampling Multiple Solutions of an Underdetermined Inverse Problem: Parameter Identification for Pharmacokinetics', SIAM J. Sci. Comput. 36, B14-B44, 2014. [Technical Report NII-2011-002E]
  • Tiffany Inglis, Hans De Sterck, Geoffrey Sanders, Haig Djambazian, Robert Sladek, Saravanan Sundararajan, and Thomas J. Hudson, 'Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking', International Journal of Biomedical Imaging, vol. 2010, Article ID 582760, 21 pages, doi:10.1155/2010/582760, 2010. [pdf] [html]
  • Ryan Kennedy, Manuel E. Lladser, Zhiyuan Wu, Chen Zhang, Michael Yarus, Hans De Sterck, and Rob Knight, 'Natural and Artificial RNAs Occupy the Same Restricted Region of Sequence Space', RNA, 16: 280-289, 2010. [pdf] [html]
  • Rob Knight, Hans De Sterck, Rob Markel, Sandra Smit, Alexander Oshmyansky, and Michael Yarus, `Abundance of correctly folded RNA motifs in sequence space, calculated on computational grids', Nucleic Acids Research 33, 5924-5935, 2005. [html] [pdf]