Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

Udgivelsesår:
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1 - 3 ud af 3Pr. side: 10
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  1. 2011
  2. Udgivet

    Efficient, non-disruptive local moves for Monte Carlo sampling of proteins

    Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2011, Next Generation Statistics in Biosciences: Proceedings of the 30th Leeds Annual Statistical Research (LASR) Workshop. Mardia, K. V., Gusnanto, A., Riley, A. D. & Voss, J. (red.). University of Leeds, s. 127 1 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning

  3. Udgivet

    Generative probabilistic models extend the scope of inferential structure determination

    Olsson, S., Boomsma, Wouter, Frellsen, J., Bottaro, S., Harder, T. P., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011, I: Journal of Magnetic Resonance. 213, 1, s. 182-186 5 s.

    Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt

  4. Udgivet

    Iterative ratio method: a formal justification for the potentials of mean force

    Valentin, J., Andreetta, C., Paluszewski, M., Borg, M., Frellsen, J., Paulsen, J., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 1 s.

    Publikation: Konferencebidrag › Poster › Forskning

ID: 40103911