Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor


  1. Published

    A Probabilistic Programming Approach to Protein Structure Superposition

    Sanz Moreta, Lys, Al-Sibahi, A. S., Theobald, D., Bullock, W., Rommes, B. N., Manoukian, Andreas & Hamelryck, Thomas Wim, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019. Baruzzo, G., Daberdaku, S., Di Camillo, B., Furini, S., Giordano, E. D. & Nicosia, G. (eds.). IEEE, 5 p. 8791469

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    A probabilistic approach to protein structure prediction: PHAISTOS in CASP8

    Borg, M., Boomsma, Wouter, Ferkinghoff-Borg, J., Frellsen, J., Harder, T. P., Mardia, K., Røgen, P., Stovgaard, K. & Hamelryck, Thomas Wim, 2009, LASR 2009 — Statistical Tools for Challenges in Bioinformatics. Proceedings. Gusnanto, A., Mardia, K. V. & Fallaize, C. J. (eds.). University of Leeds, p. 65-70 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    A statistical view on the reference ratio method

    Mardia, K., Frellsen, J., Borg, M., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 6 p.

    Research output: Contribution to conferencePaperResearch

  4. Published

    AI Implementation and Capability Development in Manufacturing: An Action Research Case

    Eklöf, Jon, Snis, U. L., Hamelryck, Thomas Wim, Grima, A. & Rønning, Ola, 2024, Proceedings of the 57th Hawaii International Conference on System Sciences - HICSS 2024. Hawaii International Conference on System Sciences, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Combining the multicanonical ensemble with generative probabilistic models of local biomolecular structure

    Frellsen, J., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2013, Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013 . Hague, p. 139-144 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  7. Published

    Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model

    Thygesen, Christian Bahne, Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, Lys, Sørensen, A. B. & Hamelryck, Thomas Wim, 2021, International Conference on Machine Learning, 18-24 July 2021, Virtual. PMLR, p. 10258-10267 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    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. (eds.). University of Leeds, p. 127 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearch

  9. Published

    Evolving hidden Markov models for protein secondary structure prediction

    Won, K. J., Hamelryck, Thomas Wim, Prügel-Bennett, A. & Krogh, Anders, 2005, The 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005: Proceedings. IEEE, Vol. 3. p. 33-40 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Graphical models and directional statistics capture protein structure

    Boomsma, Wouter, Kent, J. T., Mardia, K. V., Taylor, C. C. & Hamelryck, Thomas Wim, 2006, Interdisciplinary Statistics and Bioinformatics. Barber, S., Baxter, P. D., Mardia, K. V. & Walls, R. E. (eds.). Leeds University Press, p. 91-94 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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