Author

F. Bielle

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

M. Sanson· 2 shared A. A. Bougaev· 1 shared A. Alentorn· 1 shared A. Saliou· 1 shared C. Antoniewski· 1 shared C. Buffat· 1 shared C. Carpentier· 1 shared C. Dehais· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

M. Sanson

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Author profile →

2 papers

Recent·Most cited

Cellular senescence in malignant cells promotes tumor progression in mouse and patient Glioblastoma

R. Salam, A. Saliou, F. Bielle, M. Bertrand, C. Antoniewski, C. Carpentier, A. Alentorn, L. Capelle, M. Sanson, E. Huillard, L. Bellenger, J. Guegan, I. Le Roux

This study shows that senescent cells in glioblastoma tumors contribute to progression and that removing them improves mouse survival, with similar patterns observed in patient tumors.

bioRxiv · May 18, 2022Cancer Biology

An AI-powered blood test to detect cancer using nanoDSF

P. O. Tsvetkov, R. Eyraud, S. Ayache, A. A. Bougaev, S. Malesinski, H. Benazha, S. Gorokhova, C. Buffat, C. Dehais, M. Sanson, F. Bielle, D. Figarella-Branger, O. Chinot, E. Tabouret, F. Devred

This paper presents an AI-powered blood test using nanoDSF to detect cancer with 92% accuracy in glioma patients versus healthy controls.

bioRxiv · Aug 9, 2020Cancer Biology