!!Research output per year
!!Research output per year
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
Publikation
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Characterization of the carbohydrate complexity along the gastrointestinal tract using human derived organoids of stomach, jejunum, and colon
Pires, J., Wandall, H. H., Moreta, L., Ametlle, M., Nowak, A. J., Samperio-Ventayol, P., Vakhrushev, S. Y., Dabelsteen, S., Joshi, H. & Bartfeld, S., 2025, I: Glycobiology. 35, 11, s. 3-4 PT1-004.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › peer review
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Vegvisir: Probabilistic Model (VAE) for Viral T-Cell Epitope Prediction
Moreta, L. S., Carri, I., Alvarez, H. M. G. & Nielsen, M., 2025, Machine Learning, Optimization, And Data Science, Lod 2024, Pt Ii. Nicosia, G., Ojha, V., Giesselbach, S., Pardalos, M. & Umeton, R. (red.). Springer, Bind 15509. s. 112-130 19 s. (Lecture Notes In Computer Science).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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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 adgangFil3 Citationer (Scopus)148 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
1 Citationer (Scopus) -
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)