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David Gfeller

@dgfeller.bsky.social
326 followers 16 following 44 posts

Fascinated by computational biology applied to cancer immune cell recognition

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David Gfeller @dgfeller.bsky.social · 16/04/2026
Happy the share our latest perspective on T-cell epitope recognition predictions for cancer immunotherapy: rdcu.be/fdKu6
rdcu.be
Advances in predicting T cell epitope recognition for cancer immunotherapy
Nature Cancer - Gfeller et al. discuss the recent technological and computational advances in prediction of TCR–epitope recognition and the therapeutic applications in cancer immunotherapy.
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David Gfeller @dgfeller.bsky.social · 19/03/2026
Happy to share the work of Aisha Shah about training predictors of TCR-epitope recognition with unpaired TCRa + TCRb sequences: www.biorxiv.org/content/10.6....
biorxiv.org
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David Gfeller @dgfeller.bsky.social · 26/02/2026
Interested in understanding how epitope recognition specificity is encoded in your TCR sequences? Try our new interactive page for building TCR specificity profiles on the TCR Motif Atlas: tcrmotifatlas.unil.ch/Building_mot....
tcrmotifatlas.unil.ch
Building Motifs
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David Gfeller @dgfeller.bsky.social · 23/02/2026
Happy to share the beautiful manuscript of Leonard Herault: www.biorxiv.org/content/10.6...
biorxiv.org
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David Gfeller @dgfeller.bsky.social · 15/12/2025
Very proud of the work of Dana Moreno about statistical modelling of CDR3 sequences in TCR repertoires: www.biorxiv.org/content/10.6....
biorxiv.org
Statistical modelling of CDR3 sequences provides robust quality control for TCR repertoire datasets
T-Cell Receptors (TCRs) show extensive sequence diversity across T cells. This diversity arises from different choices of V and J genes and from insertions and deletions at the V(D)J junction within t...
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David Gfeller @dgfeller.bsky.social · 09/12/2025
Nice results: rdcu.be/eTNVr. Looks like the decision to develop specific ML models of TCR-epitope interactions for each epitope was a reasonable choice.
rdcu.be
Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I point-mutation ligandome evaluation
Scientific Reports - Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I point-mutation ligandome evaluation
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David Gfeller @dgfeller.bsky.social · 25/11/2025
For those who followed the IMMREP25 competition and are interested in understanding how specificity was encoded for each epitope, check our TCR Motif Atlas IMMREP25 page: tcrmotifatlas.unil.ch/Browse_epito...
tcrmotifatlas.unil.ch
Model Motif Atlas
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David Gfeller @dgfeller.bsky.social · 18/11/2025
Very happy to share our latest manuscript about TCR-epitope recognition specificity: www.biorxiv.org/content/10.1...
biorxiv.org
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Reposted by David Gfeller
Santiago Carmona 🧬 🖥️ 🧑🏾‍🔬 @carmonation.bsky.social · 31/10/2025
Cool paper on scRNA T cell annotation. However, a note for ProjecTILs users: I wouldn’t rely on the ProjecTILs benchmark in this work, as it was run using a mouse reference map to classify human T cells (even though human CD4/CD8 T cell maps are available github.com/carmonalab/P...)
github.com
GitHub - carmonalab/ProjecTILs: Interpretation of cell states using reference single-cell maps
Interpretation of cell states using reference single-cell maps - carmonalab/ProjecTILs
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David Gfeller @dgfeller.bsky.social · 15/07/2025
Interested in unraveling specificity in epitope recognition by TCRs and KIRs in the context of graft-versus-host diseases. We have an open post-doc position in the group. Do not hesitate to share the word.
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David Gfeller @dgfeller.bsky.social · 11/06/2025
Happy to share the great work of Giancarlo Croce: Phage display enables machine learning discovery of cancer antigen–specific TCRs | Science Advances www.science.org/doi/10.1126/...
science.org
Phage display enables machine learning discovery of cancer antigen–specific TCRs
Phage display and machine learning join forces to identify cancer-specific TCRs.
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David Gfeller @dgfeller.bsky.social · 10/01/2025
Call for abstract open at BC2 2025: bc2.ch/talks-poster...
bc2.ch
Call for talks and posters
The [BC]2 Basel Computational Biology Conference is Switzerland's main event in the domain of Computational Biology and one of the major events of its kind in Europe. The conference unites scientists ...
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David Gfeller @dgfeller.bsky.social · 12/12/2024
Matei Teleman's SuperSpot paper out in Bioinformatics: academic.oup.com/bioinformati...
academic.oup.com
SuperSpot: Coarse Graining Spatial Transcriptomics Data into Metaspots
AbstractSummary. Spatial Transcriptomics is revolutionizing our ability to phenotypically characterize complex biological tissues and decipher cellular nic
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