OLISSIPO Project Results
OLISSIPO will generate a wide range of materials relevant for Early Stage Researchers and the scientific community. All results including software, workflows methods, publications, as well as dissemination materials such as posters, leaflets, videos and the yearly newsletter will be available for download under this section.
DELIVERABLES
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DELIVERABLES/WP2
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Home / DELIVERABLES / WP2
 | OLISSIPO_D2_1.pdf
OLISSIPO Schools, Workshops, and Invited lecture series programm Open Download Copy Link | 306.55 KB | July 21, 2021 |
| OLISSIPO_D2_3.pdf
Midterm report on organized joint events, schools, workshops and conferences Open Download Copy Link | 727.74 KB | July 21, 2022 |
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PUBLICATIONS
- Serras, J. L., Vinga, S., & Carvalho, A. M. (2021). Outlier Detection for Multivariate Time Series Using Dynamic Bayesian Networks. Applied Sciences-Basel, 11(4):1955. doi:10.3390/app11041955
- Lopes, M. B., Martins, E. P., Vinga, S., & Costa, B. M. (2021). The Role of Network Science in Glioblastoma. Cancers, 13, 1045. doi:10.3390/cancers13051045
- Barata, C., Rodrigues, A. M., Canhão, H., Vinga, S., & Carvalho, A. M. (2021). Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis. JMIR medical informatics, 9(7), e26823. doi: 10.2196/26823
- Neto, J. P., Alho, I., Costa, L., Casimiro, S., Valério, D., & Vinga, S. (2021). Dynamic modeling of bone remodeling, osteolytic metastasis and PK/PD therapy: introducing variable order derivatives as a simplification technique. Journal of mathematical biology, 83(4), 39. doi: 10.1007/s00285-021-01666-3
- Jensch, A., Lopes, M. B., Vinga, S., & Radde, N. (2022). ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data. Statistical Methods in Medical Research, 31(5):947-958. doi: 10.1177/09622802211072456
- Ferrarini, M. G., Ziska, I., Andrade, R., Julien-Laferrière, A., Duchemin, L., César, R.M., Mary, A., Vinga, S. & Sagot, M. (2022). Totoro: Identifying active reactions during the transient state for metabolic perturbations. Frontiers in Genetics, 3:815476.
doi: 10.3389/fgene.2022.815476 -
Peixoto, C., Martins, M., Costa, L. & Vinga, S. (2022). Kidney Cancer Biomarker Selection Using Regularized Survival Models. Cells 11(15): 2311. doi: 10.3390/cells11152311
- Patricio, A., Lopes, M-B., Costa, P. R., Costa, R. S., Henriques, R., Vinga, S. (2022). Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions. Toxins 14(10). doi: 10.3390/toxins14100679
- Leitão, B.N., Faustino, P., Vinga, S. (2022). Comparative Evaluation of Classification Indexes and Outlier Detection of Microcytic Anaemias in a Portuguese Sample. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. doi: 10.1007/978-3-031-16474-3_19
- Peixoto, C., Lopes, M.B., Martins, M. et al. (2023). Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization. BMC Bioinformatics 24, 17 (2023). doi: 10.1186/s12859-022-05104-z
- Mussbacher, M., Derler, M., Basílio, J., Schmid, JA (2023). NF-κB in monocytes and macrophages – an inflammatory master regulator in multitalented immune cells. Front Immunol 23; 14:1134661. doi: 10.3389/fimmu.2023.1134661
