Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

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  1. Accepted/In press

    Abstraction, mimesis and the evolution of deep learning

    Eklöf, Jon, Hamelryck, Thomas Wim, Last, C., Grima, A. & Snis, U. L., 2024, (Accepted/In press) In: AI and Society. 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    An Overview of Bayesian Inference and Graphical Models

    Hamelryck, Thomas Wim, 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 3-48 46 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  3. Published

    An efficient null model for conformational fluctuations in proteins

    Harder, T. P., Bottaro, S., Boomsma, Wouter, Olsson, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, In: Structure. 20, 6, p. 1028-1039 12 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    An evolutionary method for learning HMM structure: prediction of protein secondary structure.

    Won, K., Hamelryck, Thomas Wim, Prügel-Bennett, A. & Krogh, Anders, 2007, In: BMC Bioinformatics. 8, p. 357

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Bayesian inference of protein ensembles from SAXS data

    Antonov, L. D., Olsson, S., Boomsma, Wouter & Hamelryck, Thomas Wim, 2016, In: Physical Chemistry Chemical Physics. 18, 8, p. 5832-5838 7 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Bayesian inference of protein structure from chemical shift data

    Bratholm, L. A., Christensen, A. S., Hamelryck, Thomas Wim & Jensen, Jan Halborg, 2015, In: PeerJ. 3, 19 p., e861.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Bayesian methods in structural bioinformatics

    Hamelryck, Thomas Wim (ed.), Mardia, K. (ed.) & Ferkinghoff-Borg, J. (ed.), 2012, Springer. 377 p. (Statistics for Biology and Health).

    Research output: Book/Report › Book › Research › peer-review

  8. Published

    Bayesian protein superposition using Hamiltonian Monte Carlo

    Sanz Moreta, Lys, Al-Sibahi, A. S. & Hamelryck, Thomas Wim, Oct 2020, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. IEEE, p. 1-11 9288019

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Beyond rotamers: a generative, probabilistic model of side chains in proteins

    Harder, T., Boomsma, Wouter, Paluszewski, M., Frellsen, J., Johansson, Kristoffer Enøe & Hamelryck, Thomas Wim, 1 Jan 2010, In: B M C Bioinformatics. 11, p. 306

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Bioinformatic and experimental analysis of the secondary structure of amelogenin

    Vilhjalmsson, B., Rasmussen, Anne, Fabi, B., van de Weert, Marco, Hamelryck, Thomas Wim & Lemoult, S., 1 Nov 2007, In: European Cells and Materials. 14, SUPPL.2, 1 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

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