Author
J. Racle
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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2017-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 38 mutual co-author links7 papers
Recent·Most cited
Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes
J. Racle, P. Guillaume, J. Schmidt, J. Michaux, A. Larabi, K. Lau, M. A. S. Perez, G. Croce, R. Genolet, G. Coukos, V. Zoete, F. Pojer, M. Bassani-Sternberg, A. Harari, D. Gfeller
The paper predicts MHC-II epitope specificities using machine learning, revealing a reverse binding mode in ligands across multiple species.
bioRxiv · Jun 26, 2022Immunology
Deciphering the landscape of phosphorylated HLA-II ligands
M. Solleder, J. Racle, P. Guillaume, G. Coukos, M. Bassani-Sternberg, D. Gfeller
The paper identifies 1,113 unique phosphorylated HLA-II ligands and develops a predictor for their presentation on HLA-II molecules.
bioRxiv · Jun 29, 2021Immunology
Mass spectrometry based immunopeptidomics leads to robust predictions of phosphorylated HLA class I ligands
M. Solleder, P. Guillaume, J. Racle, J. Michaux, H.-S. Pak, M. Muller, G. Coukos, M. Bassani-Sternberg, D. Gfeller
The paper curates phosphorylated HLA-I ligands and develops a predictor for their interaction with HLA-I molecules.
bioRxiv · Nov 9, 2019Immunology
Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions
J. Racle, J. Michaux, G. A. Rockinger, M. Arnaud, S. Bobisse, C. Chong, P. Guillaume, G. Coukos, A. Harari, C. Jandus, M. Bassani-Sternberg, D. Gfeller
The paper improves HLA-II epitope prediction by combining mass spectrometry data with a new motif deconvolution algorithm, enhancing motif definition and prediction accuracy.
bioRxiv · Feb 3, 2019Immunology
The length distribution and multiple specificity of naturally presented HLA-I ligands
D. Gfeller, P. Guillaume, J. Michaux, H.-S. Pak, R. T. Daniel, J. Racle, G. Coukos, M. Bassani-Sternberg
The paper analyzes HLA-I ligand length distribution and multiple specificity using HLA peptidomics data from human meningioma samples, improving predictions of naturally presented ligands.
bioRxiv · Sep 7, 2018Immunology
Simultaneous Enumeration Of Cancer And Immune Cell Types From Bulk Tumor Gene Expression Data
J. Racle, K. de Jonge, P. Baumgaertner, D. E. Speiser, D. Gfeller
The paper presents an algorithm to estimate cancer and immune cell fractions from bulk tumor gene expression data, validated with multiple experimental methods.
bioRxiv · Sep 1, 2017Cancer Biology