Author

Philippe Guillame

Centre Hospitalier Universitaire Vaudois

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexandre HarariiD· 2 shared David GfelleriD· 2 shared Giancarlo CroceiD· 2 shared Julien SchmidtiD· 2 shared Sara BobisseiD· 2 shared Alexandra Michel· 1 shared Dana Léa MorenoiD· 1 shared Delphine Tardivon· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Alexandre HarariORCID

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2 papers

Recent·Most cited

Phage display enables machine learning discovery of cancer antigen specific TCRs

Giancarlo Croce, Rachid Lani, Delphine Tardivon, Sara Bobisse, Mariastella de Tiani, Maiia E. Bragina, Marta A. S. Perez, Justine Michaux, Hui Song Pak, Alexandra Michel, Talita Gehret, Julien Schmidt, Philippe Guillame, Michal Bassani‐Sternberg, Vincent Zoete, , David Gfeller

The paper uses phage display and machine learning to discover TCRs specific to cancer antigens, identifying functional TCRs from large repertoires.

Science Advances · Jun 11, 2025Peer-reviewedBioinformatics

Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells

Giancarlo Croce, Sara Bobisse, Dana Léa Moreno, Julien Schmidt, Philippe Guillame, Alexandre Harari, David Gfeller

This paper introduces MixTCRpred, a deep learning model that predicts TCR-epitope interactions and identifies epitope-specific T cells, showing enrichment in COVID-19 patients.

Nature Communications · Apr 13, 2024Peer-reviewedBioinformatics