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Urszula Czerwińska · SciRah

Researcher profile · Semantic Scholar

Urszula Czerwińska

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Urszula Czerwińska — researcher profile on SciRah

h-index: 8
Works: 21
Citations: 502

Most-cited papers

Adjustment of dendritic cells to the breast-cancer microenvironment is subset specific
P. Michea, Floriane Noël, E. Zakine, Urszula Czerwińska +10 more
2018Nature Immunology196 citations
Semantic Scholar
Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets
N. Sompairac, P. Nazarov, Urszula Czerwińska, Laura Cantini +8 more
2019International Journal of Molecular Sciences87 citations Open access
Semantic Scholar
Determining the optimal number of independent components for reproducible transcriptomic data analysis
U. Kairov, Laura Cantini, Alessandro Greco, Askhat Molkenov +3 more
2017BMC Genomics61 citations Open access
Semantic Scholar
A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures
M. Kondratova, Urszula Czerwińska, N. Sompairac, S. Amigorena +4 more
2019Nature Communications45 citations Open access
Semantic Scholar
A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival
I. Nikolayeva, Pierre Bost, I. Casadémont, V. Duong +11 more
2018Journal of Infectious Diseases31 citations Open access
Semantic Scholar
Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients
P. Nazarov, A. Wienecke-Baldacchino, A. Zinovyev, Urszula Czerwińska +5 more
2019BMC Medical Genomics27 citations Open access
Semantic Scholar
Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells
A. Naldi, Romain M. Larive, Urszula Czerwińska, S. Urbach +6 more
2017PLoS Comput. Biol.16 citations Open access
Semantic Scholar
DeDaL: Cytoscape 3.0 app for producing and morphing data-driven and structure-driven network layouts
Urszula Czerwińska, L. Calzone, E. Barillot, A. Zinovyev
2015bioRxiv13 citations Open access
Semantic Scholar
Interpretability of Machine Learning Models
Urszula Czerwińska
2022Applied Data Science in Tourism5 citations
Semantic Scholar
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs
Urszula Czerwińska, Cenk Bircanoglu, Jérémy Chamoux
2025arXiv.org4 citations
Semantic Scholar
Complex Labelling and Similarity Prediction in Legal Texts: Automatic Analysis of France’s Court of Cassation Rulings
Thibault Charmet, Inès Cherichi, Matthieu Allain, Urszula Czerwińska +3 more
2022International Conference on Language Resources and Evaluation4 citations Open access
Semantic Scholar
Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network
A. Zinovyev, Urszula Czerwińska, Laura Cantini, E. Barillot +2 more
2019bioRxiv3 citations Open access
Semantic Scholar
DeDaL: Cytoscape 3 app for producing and morphing data-driven and structure-driven network layouts
Urszula Czerwińska, L. Calzone, Emmanuel Barillot, A. Zinovyev
2015BMC Systems Biology3 citations Open access
Semantic Scholar
MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
Benjamin Aubin, G. I. Quintana, O. Tasar, Sanjeev Sreetharan +3 more
2026arXiv.org2 citations
Semantic Scholar
Independent component analysis provides clinically relevant insights into the biology of melanoma patients
P. Nazarov, A. Wienecke-Baldacchino, A. Zinovyev, Urszula Czerwińska +5 more
2018bioRxiv2 citations Open access
Semantic Scholar
Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals
Urszula Czerwińska, Laura Cantini, U. Kairov, E. Barillot +1 more
2018Latent Variable Analysis and Signal Separation2 citations
Semantic Scholar
Unsupervised deconvolution of bulk omics profiles : methodology and application to characterize the immune landscape in tumors
Urszula Czerwińska
2 citations
Semantic Scholar
Tutorial 3 : rROMA , a tool for module activity calculation from omics data and networks
P. Gawron, L. Albergante, Urszula Czerwińska, A. Zinovyev +1 more
20180 citations
Semantic Scholar
Independent component analysis provides insights into biological processes and clinical outcomes for melanoma patients
P. Nazarov, A. Wienecke-Baldacchino, A. Zinovyev, Urszula Czerwińska +4 more
20180 citations Open access
Semantic Scholar
Unsupervised computational deconvolution of mixed signals in tumor microenvironment using blind source deconvolution approach
Urszula Czerwińska, Laura Cantini, U. Kairov, E. Barillot +2 more
2018Annual International Conference on Research in Computational Molecular Biology0 citations
Semantic Scholar
Deconvolution of cell and environment specific signals and their interactions from complex mixtures in biological samples
Urszula Czerwińska, E. Barillot, V. Soumelis, A. Zinovyev
20160 citations Open access
Semantic Scholar

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A. Zinovyev×13
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A. Zinovyev — researcher profile on SciRah
E. Barillot×8
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