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
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
- 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
