Author

P. Charron

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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Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

D. Puehringe· 1 shared G. Mlynek· 1 shared J. Kostan· 1 shared K. Djinovic-Carugo· 1 shared L. R. Lopes· 1 shared L. Smith· 1 shared M. Gautel· 1 shared M. M. Akhtar· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

D. Puehringe

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1 paper

Recent·Most cited

Unlocking Predictive Power: A Machine Learning Tool Derived from In-Depth Analysis to Forecast the Impact of Missense Variants in Human Filamin C

M. Nagy, G. Mlynek, J. Kostan, L. Smith, D. Puehringe, P. Charron, T. B. Rasmussen, Z. Bilinska, M. M. Akhtar, P. Syrris, L. R. Lopes, P. M. Elliott, M. Gautel, O. Carugo, K. Djinovic-Carugo

The paper develops a machine learning model to predict the impact of missense variants in human filamin C, achieving high accuracy in distinguishing pathogenic from non-pathogenic variants.

bioRxiv · Aug 5, 2023 · PreprintBiophysics