Lys Sanz Moreta
Ph.d.-studerende, Postdoc
Programming Languages and Theory of Computing
Universitetsparken 5, Bygning B
2100 København Ã
Glycomics Program
Blegdamsvej 3
2200 København N.
ORCID: 0000-0003-1580-539X
1 - 5 ud af 5Pr. side: 10
- 2022
- Udgivet
Deep Probabilistic Programming Applied Protein Superposition: Protein Structure Prediction and Ancestral Sequence Resurrection
Sanz Moreta, Lys, 2022, Department of Computer Science, Faculty of Science, University of Copenhagen. 138 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling
- 2021
- Udgivet
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, s. 10258-10267 (Proceedings of Machine Learning Research, Bind 139).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2020
- Udgivet
Bayesian protein superposition using Hamiltonian Monte Carlo
Sanz Moreta, Lys, Al-Sibahi, A. S. & Hamelryck, Thomas Wim, okt. 2020, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. IEEE, s. 1-11 9288019Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Link Your Sites (LYS) Scripts: Automated Search of Protein Structures and Mapping of Sites Under Positive Selection Detected by PAML
Sanz Moreta, Lys & Rodrigues da Fonseca, Rute Andreia, 2020, I: Evolutionary Biology. 47, 3, s. 240-245 6 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- 2019
- Udgivet
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. (red.). IEEE, 5 s. 8791469Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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