Publikationer pr. år
Publikationer pr. år
Personlig profil
Kort præsentation
I am an interdisciplinary researcher versed both on molecular biology and advanced machine learning methods. Particularly, during my PhD I specialized on applying Bayesian modelling and deep learning methods to tackle complex biological problems. I enjoy approaching different research disciplines, optimizing my programming and mathematical skills and learning from the experts to connect different knowledge fields.
Emneord
- Det Sundhedsvidenskabelige Fakultet
- Probabilistic programming
- molecular biology
- machine learning
- interdisciplinary
Samarbejde og topforskningsområder i de sidste fem år
Seneste eksterne samarbejde på lande-/områdeniveau. Dyk ned i detaljerne ved at klikke på prikkerne eller
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Deep Probabilistic Programming Applied Protein Superposition: Protein Structure Prediction and Ancestral Sequence Resurrection
Sanz Moreta, L., 2022, Department of Computer Science, Faculty of Science, University of Copenhagen. 138 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
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Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Thygesen, C. B., Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, L., Sørensen, A. B. & Hamelryck, T. W., 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 › peer review
Åben adgangFil1 Citationer (Scopus)55 Downloads (Pure) -
Bayesian protein superposition using Hamiltonian Monte Carlo
Moreta, L. S., Al-Sibahi, A. S. & Hamelryck, T., 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 › peer review
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Link Your Sites (LYS) Scripts: Automated Search of Protein Structures and Mapping of Sites Under Positive Selection Detected by PAML
Moreta, L. S. & da Fonseca, R. R., 2020, I: Evolutionary Biology. 47, 3, s. 240-245 6 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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A Probabilistic Programming Approach to Protein Structure Superposition
Moreta, L. S., Al-Sibahi, A. S., Theobald, D., Bullock, W., Rommes, B. N., Manoukian, A. & Hamelryck, T., 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 › peer review
4 Citationer (Scopus)