Paper
Personal repertoires from public T cell receptors
Or Malca, Alona Zilberberg and Sol Efroni review how machine learning reads a personal repertoire through the public T cell receptors it shares with others, in Immunological Reviews. Read more
papers, data and awards
News
Award
We won the AIRR-ML 2025 challenge
The challenge asked teams to predict disease state from immune repertoires across eight synthetic and real datasets. Our solution matched a model to each dataset. The code is public. Read more
Paper
Breast cancer, detected from blood repertoires
Machine learning over T cell receptor repertoires from peripheral blood detects breast cancer, in npj Systems Biology and Applications. Read more
Data
Colorectal cancer repertoires released
A large dataset of pre-treatment TCR repertoires from colorectal cancer patients is now public, described in Scientific Data. Read more
Paper
MAIT cells and risk in colorectal cancer
Integrative machine learning over T cell receptor repertoires in colorectal cancer, in Translational Oncology. Read more
Paper
Repertoires from RNA-seq, compared with TCR-seq
How well do repertoires extracted from RNA-seq agree with dedicated TCR sequencing? In Oxford Open Immunology. Read more
Data
Ovarian cancer repertoires released
T cell receptor repertoires from ovarian cancer patients and healthy donors, described in Scientific Data. Read more
Paper
A language model for T cell receptors
Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership, in Science Advances. Read more
Paper
Ovarian cancer, detected from blood repertoires
Machine learning over peripheral blood T cell receptor repertoires detects ovarian cancer, in Briefings in Bioinformatics. Read more