Below is the list of research publications for the UCD Discovery Institute in the academic year 2023/24.
Professor Anthony Brabazon | |
O’Neill, M., & Brabazon, A. (2024). Evolutionary Machine Learning in Finance. In Genetic and Evolutionary Computation (pp. 695-713). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_24 - Available Online |
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Assoc Professor Kathleen Curran | |
Hagos, M. T., Belton, N., Killeen, R. P., Curran, K. M., & Mac Namee, B. (2023). Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer’s Disease from MRI Images. In Lecture Notes in Computer Science (pp. 391-403). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_35 - Available Online |
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Ma, S., Du, H., Curran, K. M., Lawlor, A., & Dong, R. (2024). Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. In Lecture Notes in Computer Science (pp. 48-57). Springer Nature Switzerland. doi:10.1007/978-3-031-72120-5_5 - Available Online |
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Dietlmeier, J., Garcia-Cabrera, C., Hashmi, A., Curran, K. M., & O’Connor, N. E. (2024). Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. In Unknown Book (Vol. 14507 LNCS, pp. 326-338). doi:10.1007/978-3-031-52448-6_31 - Available Online |
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Garcia-Cabrera, C., Sánchez, E. A., Moreu, E., Curran, K. M., O’Connor, N. E., & McGuinness, K. (2024). Synthetic Balancing of Cardiac MRI Datasets. In Unknown Book (Vol. 14860 LNCS, pp. 353-365). doi:10.1007/978-3-031-66958-3_26 - Available Online |
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Professor Nial Friel | |
Kaur, H., Rastelli, R., Friel, N., & Raftery, A. E. (2024). Latent Position Network Models. In The Sage Handbook of Social Network Analysis (pp. 526-541). Sage Publications Ltd. doi:10.4135/9781529614695.n36 - Available Online |
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Professor Michael O'Neill | |
O’Neill, M., & Brabazon, A. (2024). Evolutionary Machine Learning in Finance. In Genetic and Evolutionary Computation (pp. 695-713). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_24 - Available Online |
Assoc Professor Kathleen Curran | |
Noonan, K., Hearne, R., Gaffney, B., Sheehy, B., Mcveigh, N., Sekimoto, Y., et al. (2023). Differentiating diffuse cystic lung disease and emphysema cases from normal using Artificial Intelligence. In Imaging (pp. PA2292). European Respiratory Society. doi:10.1183/13993003.congress-2023.pa2292 - Available Online |
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Hashmi, A., Dietlmeier, J., Curran, K. M., & O’Connor, N. E. (2024). Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. In European Signal Processing Conference (pp. 1666-1670). |
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Aleem, S., Wang, F., Maniparambil, M., Arazo, E., Dietlmeier, J., Curran, K., et al. (2024). Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 5184-5193). doi:10.1109/CVPRW63382.2024.00526 - Available Online |
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Assoc Professor Neil Hurley | |
Singha Roy, A., D'Amico, E., Tragos, E., Lawlor, A., & Hurley, N. (2023). Scalable Deep Q-Learning for Session-Based Slate Recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 877-882). doi:10.1145/3604915.3608843 - Available Online |
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O’Reilly Morgan, D., Tragos, E., Geraci, J., Wang, Q., Hurley, N., Smyth, B., & Lawlor, A. (2024). A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 161-168). doi:10.1145/3642970.3655841 - Available Online |
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Hurley, N., Duriakova, E., Geraci, J., O’Reilly-Morgan, D., Tragos, E., Smyth, B., & Lawlor, A. (2024). ALS Algorithm for Robust and Communication-Efficient Federated Learning. In EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems (pp. 56-64). doi:10.1145/3642970.3655842 - Available Online |
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Professor Mohand Tahar Kechadi | |
Xu, C., & Kechadi, M. T. (2023). Fuzzy Deep Hybrid Network for Fake News Detection. In ACM International Conference Proceeding Series (pp. 118-125). doi:10.1145/3628797.3628971 - Available Online |
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Phan, D. T. B., Le, P. V. L., Luong, N. H., Kechadi, T., & Ngo, H. Q. (2023). Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture. In ACM International Conference Proceeding Series (pp. 48-55). doi:10.1145/3628797.3628958 - Available Online |
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Li, Y., Zainab, S. S. E., Dhelim, S., & Kechadi, M. T. (2024). Weather Data and Agro-climate Indices - Comparative Study. In ACM International Conference Proceeding Series (pp. 1-7). doi:10.1145/3651671.3651729 - Available Online |
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Li, Y., Dhelim, S., & Kechadi, M. T. (2024). Predicting Winter Wheat Emergence and Stem Elongation Time using CNN. In ACM International Conference Proceeding Series (pp. 153-160). doi:10.1145/3651671.3651728 - Available Online |
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Bimonte, S., Bellocchi, G., Pinet, F., Charrier, G., Sacharidis, D., Sakr, M., et al. (2024). Technological and Research Challenges in Data Engineering for Sustainable Agriculture. In Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, BIDEDE 2024, in conjunction with the 2024 ACM SIGMOD/PODS Conference. doi:10.1145/3663741.3664786 - Available Online |
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Dr Miguel Nicolau | |
Higgins, A., Nicolau, M., Flaherty, N., O'Neill, M., Munnelly, J., & McDermot, J. (2023). Strategies for “AI aware” assessment design/re-design. In Academic and Research Integrity Conference Ireland (pp. 1-6). Galway, Ireland. |
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Professor Michael O'Neill | |
Claret, R., O'Neill, M., Cotofrei, P., & Stoffel, K. (2024). Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach. In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 1879-1887). doi:10.1145/3638530.3664144 - Available Online |
Assoc Professor Kathleen Curran | |
Hagos, M. T., Belton, N., Curran, K. M., & Namee, B. M. (2023). Distance-Aware eXplanation Based Learning. IEEE. |
Assoc Professor Nicolae Buchete | |
Buchete, N. -V., Cicha, I., Dutta, S., & Neofytou, P. (2024). Multiscale physics-based in silico modelling of nanocarrier-assisted intravascular drug delivery. Frontiers in Drug Delivery, 4. doi:10.3389/fddev.2024.1362660 - Available Online |
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Assoc Professor Miguel Bustamante | |
Kumar, S., Crowley, C., Khan, M. F., Bustamante, M. D., Cahill, R. A., & Nolan, K. (2023). Understanding surgical smoke in laparoscopy through Lagrangian Coherent Structures. PLoS ONE, 18(11 November). doi:10.1371/journal.pone.0293287 - Available Online |
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Pezzi, A., Comito, T., Bustamante, M. D., & Onorato, M. (2023). Three- and four-wave resonances in the nonlinear quadratic Kelvin lattice. Communications in Nonlinear Science and Numerical Simulation, 127. doi:10.1016/j.cnsns.2023.107548 - Available Online |
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Chang, Z. W., Hao, W. C., Bustamante, M., & Liu, X. (2024). Constructing Hopf Insulator from Geometric Perspective of Hopf Invariant. Chinese Physics Letters, 41(3). doi:10.1088/0256-307X/41/3/037302 - Available Online |
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Protas, B., Kang, D., & Bustamante, M. D. (2024). Alignments of triad phases in extreme one-dimensional Burgers flows. Physical Review E, 109(5). doi:10.1103/PhysRevE.109.055104 - Available Online |
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Amirfazli, A., Bustamante, M. D., Hu, Y., & Ó Náraigh, L. (2024). Bounds on the spreading radius in droplet impact: The inviscid case. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2294). doi:10.1098/rspa.2023.0760 - Available Online |
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Assoc Professor Eimear Byrne | |
Bonini, M., Borello, M., & Byrne, E. (2023). Saturating systems and the rank-metric covering radius. Journal of Algebraic Combinatorics, 58(4), 1173-1202. doi:10.1007/s10801-023-01269-9 - Available Online |
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Byrne, E., Ceria, M., Ionica, S., & Jurrius, R. (2024). Weighted Subspace Designs from q-Polymatroids. Journal of Combinatorial Theory. Series A, 201. doi:10.1016/j.jcta.2023.105799 - Available Online |
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Byrne, E., & Cotardo, G. (2024). Constructions of perfect bases for classes of 3-tensors. Linear Algebra and Its Applications, 683, 1-30. doi:10.1016/j.laa.2023.11.019 - Available Online |
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Alfarano, G. N., & Byrne, E. (2024). The cyclic flats of a q-matroid. Journal of Algebraic Combinatorics, 60(1), 97-126. doi:10.1007/s10801-024-01321-2 - Available Online |
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Assoc Professor Kathleen Curran | |
Bartels, H. C., O’Doherty, J., Wolsztynski, E., Brophy, D. P., MacDermott, R., Atallah, D., et al. (2023). Radiomics-based prediction of FIGO grade for placenta accreta spectrum. European Radiology Experimental, 7(1). doi:10.1186/s41747-023-00369-2 - Available Online |
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Bartels, H. C., O’Doherty, J., Wolsztynski, E., Brophy, D. P., MacDermott, R., Atallah, D., et al. (2023). Correction: Radiomics-based prediction of FIGO grade for placenta accreta spectrum (European Radiology Experimental, (2023), 7, 1, (54), 10.1186/s41747-023-00369-2). European Radiology Experimental, 7(1). doi:10.1186/s41747-023-00397-y - Available Online |
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Foessl, I., Ackert-Bicknell, C. L., Kague, E., Laskou, F., Jakob, F., Karasik, D., et al. (2024). A perspective on muscle phenotyping in musculoskeletal research. Trends in Endocrinology and Metabolism, 35(6), 478-489. doi:10.1016/j.tem.2024.01.004 - Available Online |
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Belton, N., Hagos, M. T., Lawlor, A., & Curran, K. M. (2024). Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection. Computerized Medical Imaging and Graphics, 115. doi:10.1016/j.compmedimag.2024.102391 - Available Online |
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Bartels, H. C., Hameed, S., Young, C., Nabhan, M., Downey, P., Curran, K. M., et al. (2024). Biological comparisons between pre-eclampsia and placenta accreta spectrum. npj Women's Health, 2(1). doi:10.1038/s44294-024-00034-y - Available Online |
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Professor Frederic Dias | |
Kokina, T., Peláez-Zapata, D. S., Murphy, T. B., & Dias, F. (2023). Improving the sea state forecasts by using local wave observations and the ensembleBMA software. Environmental Data Science, 2. doi:10.1017/eds.2023.31 - Available Online |
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Liu, H., Liu, P. L. F., & Dias, F. (2023). Special topic on Physics and Modeling of Tsunamis. Physics of Fluids, 35(11). doi:10.1063/5.0182606 - Available Online |
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Wu, Q., Feng, X., Dong, Y., & Dias, F. (2023). On the behavior of higher harmonics in the evolution of nonlinear water waves in the presence of abrupt depth transitions. Physics of Fluids, 35(12). doi:10.1063/5.0173173 - Available Online |
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Støle-Hentschel, S., Catalán, P. A., Streßer, M., Horstmann, J., & Dias, F. (2024). Observations of Shoaling and Breaking Waves in Shallow Water with Different Coherent X-Band Radars. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-18. doi:10.1109/TGRS.2024.3373785 - Available Online |
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Ancellin, M., Marchand, P., & Dias, F. (2024). Towards High-Performance Linear Potential Flow BEM Solver with Low-Rank Compressions. Energies, 17(2). doi:10.3390/en17020372 - Available Online |
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Warby, C., Dias, F., Schoefs, F., & Pakrashi, V. (2024). An ecologically aware modification of the Morison's equation for long term marine growth effects. Mechanics Research Communications, 139. doi:10.1016/j.mechrescom.2024.104293 - Available Online |
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Peláez-Zapata, D., Pakrashi, V., & Dias, F. (2024). Ocean Wave Directional Distribution from GPS Buoy Observations off the West Coast of Ireland: Assessment of a Wavelet-Based Method. Journal of Atmospheric and Oceanic Technology, 41(8), 749-765. doi:10.1175/jtech-d-23-0058.1 - Available Online |
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Renzi, E., Bergin, C., Kokina, T., Pelaez-Zapata, D. S., Giles, D., & Dias, F. (2024). Recent meteorological tsunamis and other anomalous tidal surge events in western Europe. doi:10.5194/ems2024-184 - Available Online |
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Professor Nial Friel | |
Rastelli, R., Maire, F., & Friel, N. (2024). Computationally efficient inference for latent position network models. Electronic Journal of Statistics, 18(1), 2531-2570. doi:10.1214/24-EJS2256 - Available Online |
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Mulder, J., Friel, N., & Leifeld, P. (2024). Bayesian testing of scientific expectations under exponential random graph models. Social Networks, 78, 40-53. doi:10.1016/j.socnet.2023.11.004 - Available Online |
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Professor Claire Gormley | |
Frizzarin, M., Miglior, F., Berry, D. P., Gormley, I. C., & Baes, C. F. (2023). Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively fed dairy cows. Journal of Dairy Science, 106(12), 9115-9124. doi:10.3168/jds.2023-23290 - Available Online |
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Tavernier, E., Gormley, I. C., Delaby, L., McParland, S., O'Donovan, M., & Berry, D. P. (2023). Cow-level factors associated with nitrogen utilization in grazing dairy cows using a cross-sectional analysis of a large database. Journal of Dairy Science, 106(12), 8871-8884. doi:10.3168/jds.2023-23606 - Available Online |
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O’Reilly, D., Murphy, C. A., Moore, C. M., Ní Áinle, F., Gormley, I. C., Morrell, C. N., et al. (2024). Markers of platelet activation foR identification of late onset sEpsis in infaNTs: PARENT study protocol. Pediatric Research, 95(3), 852-856. doi:10.1038/s41390-023-02812-x - Available Online |
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Tavernier, E., Gormley, I. C., Delaby, L., O'Donovan, M., & Berry, D. P. (2024). Genetic covariance components for measures of nitrogen utilization in grazing dairy cows. Journal of Dairy Science, 107(4), 2231-2240. doi:10.3168/jds.2023-24117 - Available Online |
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Gwee, X. Y., Gormley, I. C., & Fop, M. (2024). Variational inference for the latent shrinkage position model. Stat, 13(2). doi:10.1002/sta4.685 - Available Online |
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Assoc Professor Russell Higgs | |
Higgs, R. J., Finnegan, C., & Healy, D. (2024). Groups with three projective characters. Communications in Algebra, 52(3), 1063-1083. doi:10.1080/00927872.2023.2255670 - Available Online |
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Higgs, R. J. (2024). FROBENIUS–SCHUR INDICATORS FOR PROJECTIVE CHARACTERS WITH APPLICATIONS. Bulletin of the Australian Mathematical Society. doi:10.1017/S0004972724000571 - Available Online |
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Higgs, R. J. (2024). Projective Character Values on Real and Rational Elements. Bulletin of the Australian Mathematical Society. doi:10.1017/S0004972724000030 - Available Online |
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Professor Mohand Tahar Kechadi | |
Xu, C., & Kechadi, M. T. (2024). An Enhanced Fake News Detection System With Fuzzy Deep Learning. IEEE Access, 12, 88006-88021. doi:10.1109/ACCESS.2024.3418340 - Available Online |
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Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). Correction to: A neural meta model for predicting winter wheat crop yield (Machine Learning, (2024), 10.1007/s10994-023-06455-1). Machine Learning, 113(5), 3353. doi:10.1007/s10994-024-06535-w - Available Online |
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Bansal, Y., Lillis, D., & Kechadi, M. T. (2024). A neural meta model for predicting winter wheat crop yield. Machine Learning, 113(6), 3771-3788. doi:10.1007/s10994-023-06455-1 - Available Online |
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Assoc Professor Vladimir Lobaskin | |
Štrancar, J., Urbancic, I., Stoeger, T., Lobaskin, V., & Vogel, U. (2023). P17-28: From automated early mode-of-action determination to Chronic Inflammation Prediction for Inhaled Particles. Toxicology Letters, 384, S218. doi:10.1016/s0378-4274(23)00769-5 - Available Online |
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Lobaskin, V., Subbotina, J., & Rouse, I. (2023). Computational modelling of bionano interface. EPL, 143(5). doi:10.1209/0295-5075/acf33f - Available Online |
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Amini, P. M., Rouse, I., Subbotina, J., & Lobaskin, V. (2024). Multiscale modelling of biomolecular corona formation on metallic surfaces. Beilstein Journal of Nanotechnology, 15, 215-229. doi:10.3762/bjnano.15.21 - Available Online |
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Serrano, B. A., Gheorghe, L. C., Exner, T. E., Resch, S., Wolf, C., Himly, M., et al. (2024). The role of FAIR nanosafety data and nanoinformatics in achieving the UN sustainable development goals: the NanoCommons experience. RSC Sustainability, 2(5), 1378-1399. doi:10.1039/d3su00148b - Available Online |
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Mortensen, H. M., Amos, J. D., Exner, T. E., Flores, K., Harper, S., Jarabek, A. M., et al. (2024). NNI nanoinformatics conference 2023: Movement toward a common infrastructure for federal nanoEHS data computational toxicology: Short communication. Computational Toxicology, 30. doi:10.1016/j.comtox.2024.100316 - Available Online |
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Professor Gary McGuire | |
Gow, R., & McGuire, G. (2023). On Galois groups of linearized polynomials related to the general linear group of prime degree. Journal of Number Theory, 253, 368-377. doi:10.1016/j.jnt.2023.06.018 - Available Online |
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Barbero-Lucas, B., Hernando, F., Martín-Cruz, H., & McGuire, G. (2024). MDS, Hermitian almost MDS, and Gilbert–Varshamov quantum codes from generalized monomial-Cartesian codes. Quantum Information Processing, 23(3). doi:10.1007/s11128-024-04297-x - Available Online |
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Gow, R., & McGuire, G. (2024). On Galois groups of linearized polynomials related to the special linear group of prime degree. Linear Algebra and Its Applications, 693, 49-62. doi:10.1016/j.laa.2023.03.004 - Available Online |
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Professor Brendan Murphy | |
Monacelli, G., Zhang, L., Schlee, W., Langguth, B., Ward, T. E., & Murphy, T. B. (2023). Adaptive data collection for intraindividual studies affected by adherence. Biometrical Journal, 65(7). doi:10.1002/bimj.202200203 - Available Online |
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Alkema, L., Murphy, T. B., & Raftery, A. E. (2023). Interview With Adrian Raftery. International Statistical Review, 91(3), 349-367. doi:10.1111/insr.12557 - Available Online |
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Duggan, J., Andrade, J., Murphy, T. B., Gleeson, J. P., Walsh, C., & Nolan, P. (2024). An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response. European Journal of Operational Research, 313(1), 343-358. doi:10.1016/j.ejor.2023.08.011 - Available Online |
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García-Escudero, L. A., Ingrassia, S., & Murphy, T. B. (2024). Special issue on “advances in models and learning for clustering and classification”. Advances in Data Analysis and Classification, 18(1), 1-4. doi:10.1007/s11634-024-00584-8 - Available Online |
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Berrettini, M., Galimberti, G., Ranciati, S., & Murphy, T. B. (2024). Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(3), 621-638. doi:10.1093/jrsssc/qlae004 - Available Online |
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Dr Miguel Nicolau | |
Mauceri, S., Sweeney, J., Nicolau, M., & Mcdermott, J. (2024). Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification. IEEE Transactions on Neural Networks and Learning Systems, 35(10), 13951-13962. doi:10.1109/TNNLS.2023.3273503 - Available Online |
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Assoc Professor Lennon Ó Náraigh | |
Náraigh, L. I., & Mairal, J. (2023). Analysis of the spreading radius in droplet impact: The two-dimensional case. Physics of Fluids, 35(10). doi:10.1063/5.0169274 - Available Online |
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Pang, K. E., Cuvillier, C., Kita, Y., & Náraigh, L. (2024). Flow stability in shallow droplets subject to localized heating of the bottom plate. Physical Review Fluids, 9(1). doi:10.1103/PhysRevFluids.9.014003 - Available Online |
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Ó Náraigh, L. (2024). A mathematical framework for spatio-temporal control in industrial drying. International Journal of Modeling, Simulation, and Scientific Computing, 15(1). doi:10.1142/S1793962324500193 - Available Online |
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Amirfazli, A., Bustamante, M. D., Hu, Y., & Ó Náraigh, L. (2024). Bounds on the spreading radius in droplet impact: The inviscid case. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2294). doi:10.1098/rspa.2023.0760 - Available Online |
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Professor Adrian Ottewill | |
Arrechea, J., Breen, C., Ottewill, A., & Taylor, P. (2023). Renormalized stress-energy tensor for scalar fields in Hartle-Hawking, Boulware, and Unruh states in the Reissner-Nordström spacetime. Physical Review D, 108(12). doi:10.1103/PhysRevD.108.125004 - Available Online |
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Assoc Professor Gianluca Pollastri | |
Gillani, M., & Pollastri, G. (2024). SCLpred-ECL: Subcellular Localization Prediction by Deep N-to-1 Convolutional Neural Networks. International Journal of Molecular Sciences, 25(10). doi:10.3390/ijms25105440 - Available Online |
Professor Frederic Dias | |
Calo, L. G., Bennis, A. -C., Boutet, M., & Dias, F. (2024). Τοwards a unified mοdelling οf wave-current-turbulence interactiοns in three dimensiοns: applicatiοn tο Alderney Race (France) and Gregοry Sound (Ιreland) . doi:10.5194/egusphere-egu24-9107 - Available Online |
Assoc Professor Eimear Byrne | |
Byrne, E., Johnston, R. D., Kilroy, D., & Bhattacharjee, S. (2024). <i>An arch worth revisiting:</i>A study on the feline humeral supracondylar foramen and its evolutionary significance. doi:10.1101/2024.02.25.581957 - Available Online |
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Assoc Professor Kathleen Curran | |
Bartels, H. C., Hameed, S., Young, C., Nabhan, M., Downey, P., Curran, K. M., et al. (2024). Spatial proteomics and transcriptomics of placenta accreta spectrum. doi:10.1101/2024.03.21.585167 - Available Online |
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Professor Claire Gormley | |
O’Grady, J., McHugo, G., Ward, J., Hall, T., Faherty O’Donnell, S., Correia, C., et al. (2024). Integrative genomics sheds light on the immunobiology of tuberculosis in cattle. doi:10.1101/2024.02.27.582295 - Available Online |
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Assoc Professor Vladimir Lobaskin | |
Mosaddeghi Amini, P., Rouse, I., Subbotina, J., & Lobaskin, V. (2023). Multiscale modelling for biomolecular corona formation on metallic surfaces. doi:10.3762/bxiv.2023.45.v1 - Available Online |
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Assoc Professor Lennon Ó Náraigh | |
Vizcaíno García, P., Bustamante, M., Ó Náraigh, L., Herterich, J., & Keenahan, J. (n.d.). Understanding the effects of high-turbulence flow on 5:1 bluff bodies through computational simulation. doi:10.2139/ssrn.4917598 - Available Online |
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Assoc Professor Gianluca Pollastri | |
Meng, D., & Pollastri, G. (2024). PUNCH2: explore the strategy for Intrinsically Disordered Protein predictor. doi:10.1101/2024.10.03.616458 - Available Online |
Professor Claire Gormley | |
Gormley, I., Majumdar, K., Silva, R., Perry, A. S., Watson, R. W., Rau, A., et al. (2023). betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data [Computer Software]. Retrieved from https://cran.r-project.org/web/packages/betaclust/index.html |
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Gormley, I., Fop, M., & Xian Yao, G. (2023). LSPM: a set of latent shrinkage position models for network data [Computer Software]. Retrieved from https://gitlab.com/gwee95/lspm |