multi-omics data science (modas) research group
The Multi-omics Data Science Research Group is focused on developing advanced computational and statistical methods of biomedical data analysis and interpretation.
activities
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 leads 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.
Petr Nazarov leads the Multi-omics Data Science research group at Luxembourg Institute of Health and is an invited Assistant Professor at Luxembourg University. He graduated as a physicist from Belarus State University in 2000 and got his PhD in biophysics at Wageningen University in 2006. Since then he has been working at Luxembourg Institute of Health as a postdoc, researcher and, finally, a group leader. His primary expertise lies in biostatistics, data analysis, machine learning and genomics. His works are mainly focused on analysis of cancer transcriptomes. He has a special interest in the deconvolution of transcriptomic and epigenomic signals from heterogeneous tumors.
Nazarov
Projects & clinical trials
The group members led or contributed to the following research projects:
- “Decomposition of mixed transcriptomes for classification of heterogeneous tumour samples (DEMICS)”, Luxembourg’s National Research Fund (FNR), 2018-2020.
- “Glioma longitudinal analysis in Luxembourg: ex vivo and in vivo functional profiling of recurrent gliomas” (GLASS-LUX), FNR, 2021-2024.
- “Targeting tumor propagating cells in glioblastoma: from mechanistic insights to precision medicine” (SUNRISE), Télévie PDR, Luxembourg-Belgium, 2021-2024.
Featured team members
Scientific publications
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Digital voice-based biomarker for monitoring respiratory quality of life – 01/10/2024
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Metformin impacts the differentiation of mouse bone marrow cells into macrophages affecting tumour immunity – 30/09/2024
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Patient-based multilevel transcriptome exploration highlights relevant chemokines and chemokine receptor axes in glioblastoma – 30/09/2024
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PARK7/DJ-1 deficiency impairs microglial activation in response to LPS-induced inflammation – 16/07/2024
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consICA – 13/07/2024
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AllergoOncology – 01/01/2024
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Most accurate mutations in SARS-CoV-2 genomes identified in Uzbek patients show novel amino acid changes – 31/05/2024
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Enhancing the opportunities for cholangiocarcinoma precision therapy – 16/01/2024
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Glioblastoma-instructed microglia transition to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenografts – 02/04/2024
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Rel Family Transcription Factor NFAT5 Upregulates COX2 via HIF-1α Activity in Ishikawa and HEC1a Cells – 25/03/2024
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