Author

E. Pariset

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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Cell Biology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. L. Ponomarev· 1 shared I. Plante· 1 shared L. Viger· 1 shared S. R. Blattnig· 1 shared S. V. Costes· 1 shared T. Evain· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperCell Biology

A. L. Ponomarev

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1 paper

Recent·Most cited

DNA break clustering inside repair domains predicts cell death and mutation frequency in human fibroblasts and in Chinese hamster cells for a 10^3x range of linear energy transfers

E. Pariset, I. Plante, A. L. Ponomarev, L. Viger, T. Evain, S. R. Blattnig, S. V. Costes

This paper introduces a model to predict cell death and mutation frequency in response to cosmic radiation by simulating DNA break clustering and using experimental data from human and Chinese hamster cells.

bioRxiv · Nov 30, 2020 · PreprintCell Biology