Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
IDDomainSpotter: Compositional bias reveals domains in long disordered protein regions—Insights from transcription factors
Millard, P. S., Bugge, K., Marabini, R., Boomsma, Wouter, Burow, Meike & Kragelund, Birthe Brandt, 2020, In: Protein Science. 29, 1, p. 169-183 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Implicit Variational Inference for High-Dimensional Posteriors
Uppal, A., Stensbo-Smidt, K., Boomsma, Wouter & Frellsen, J., 2023, Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). NeurIPS Proceedings, 24 p. (Advances in Neural Information Processing Systems, Vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Olsson, S., Frellsen, J., Boomsma, Wouter, Mardia, K. V. & Hamelryck, Thomas Wim, 2013, In: PLoS ONE. 8, 11, 7 p., e79439.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 p.Research output: Contribution to conference › Poster › Research
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Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Bartels, S., Boomsma, Wouter, Frellsen, J. & Garreau, D., 2023, In: Journal of Machine Learning Research. 24, p. 1-57 71.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning meaningful representations of protein sequences
Detlefsen, N. S., Hauberg, S. & Boomsma, Wouter, 2022, In: Nature Communications. 13, 1, p. 1-12 1914.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
Kampmeyer, Caroline, Grønbæk-Thygesen, Martin, Oelerich, N., Tatham, M. H., Cagiada, Matteo, Lindorff-Larsen, K., Boomsma, Wouter, Hofmann, K. & Hartmann-Petersen, Rasmus, 2023, In: Cellular and Molecular Life Sciences. 80, 6, 18 p., 143.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias
Wang, Y., Tian, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2018, In: Journal of Physical Chemistry B. 122, 49, p. 11174-11185Research output: Contribution to journal › Journal article › Research › peer-review
Multiple sequence alignment using SAGA: investigating the effects of operator scheduling, population seeding, and crossover operators
Thomsen, R. & Boomsma, Wouter, 2004, Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings. Raidl, G. R. (ed.). Springer, p. 113-122 10 p. (Lecture notes in computer science, Vol. 3005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 40103911
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2308
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1431
downloads
Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1429
downloads
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Research output: Contribution to journal › Journal article › Research › peer-review
Published