Projects per year
Organization profile
The Multi-omics Data Science Group mainly focuses on the data obtained in cancer biology with high-throughput molecular profiling. We focus on extracting relevant biological signals and predictive features from tumors and surrounding tissues on various modalities: DNA methylation, RNA expression, protein abundance, and tissue histopathological images. Integrating the corresponding data improves our understanding of cancers and lead to better patient stratification and treatment. A special interest of the group is in contribution to translationally-oriented research through strong collaborations at the LIH, LNS and abroad. Members of the team enable cross-disciplinary research partnerships, which benefit from their diverse expertise in biostatistics, large-scale analysis and integration of multi-omics data, machine learning and scientific programming.
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Network
Profiles
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SUNRISE (TLV-PDR-2021): TARGETING TUMOR PROPAGATING CELLS IN GLIOBLASTOMA: FROM MECHANISTICINSIGHTS TO PRECISION MEDICINE
Van Dyck, E., Rogister, B., Neirinckx, V., Nazarov, P. & Herold‐mende, C.
FNRS - Fonds National de la Recherche Scientifique
1/12/21 → 30/04/24
Project: Research
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GLASS-LUX: Glioma Longitudinal AnalySiS in Luxembourg (GLASS-LUX): ex vivo and in vivo Functional Profiling of Recurrent Gliomas
Niclou, S., Golebiewska, A., Kwon, Y., Nazarov, P. & Klink, B.
Collaboration Fondation Cancer - FNR
1/09/21 → 31/08/24
Project: Research
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DIOMEDES: Deconvolution of heterogeneity in the Glioblastoma cellular ecosystem for understanding treatment resistance and improving patient stratification
Golebiewska, A., Nazarov, P., Mittelbronn, M., Skupin, A., Zinovyev, A., Bjerkvig, R. & Brown, D.
FNR - Fonds National de la Recherche, Fondation Cancer
1/07/22 → 30/06/25
Project: Research
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BIODICA: a computational environment for Independent Component Analysis of omics data
Captier, N., Merlevede, J., Molkenov, A., Seisenova, A., Zhubanchaliyev, A., Nazarov, P. V., Barillot, E., Kairov, U. & Zinovyev, A., 23 Apr 2022, In: Bioinformatics. 38, 10, p. 2963-2964 2 p.Research output: Contribution to journal › Article › peer-review
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Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
Proverbio, D., Kemp, F., Magni, S., Ogorzaly, L., Cauchie, H-M., Gonçalves, J., Skupin, A. & Aalto, A., 25 Jun 2022, In: Science of the Total Environment. 827, p. 154235Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Oncolytic H-1 Parvovirus Hijacks Galectin-1 to Enter Cancer Cells
Ferreira, T., Kulkarni, A., Bretscher, C., Nazarov, P. V., Hossain, J. A., Ystaas, L. A. R., Miletic, H., Röth, R., Niesler, B. & Marchini, A., 11 May 2022, In: Viruses. 14, 5, 1018.Research output: Contribution to journal › Article › peer-review
Open Access