G. Isacchini

Variability in the local and global composition of human T-cell receptor repertoires during thymic development across cell types and individuals

The paper analyzes human TCR repertoires across thymic development stages and individuals, finding that inter-individual variability persists through maturation and that local sequence similarity correlates with cell type information.

Deep generative selection models of T and B cell receptor repertoires with soNNia

The paper uses machine learning to analyze T and B cell receptor sequences and identifies features distinguishing functional lymphocyte subsets and their selection processes.

On generative models of T-cell receptor sequences

This study compares two models for predicting TCR sequence probabilities, finding that a knowledge-guided approach outperforms a deep learning model in accuracy, interpretability, and efficiency.

Population variability in the generation and thymic selection of T-cell repertoires

The paper introduces SONIA, a tool to analyze TCR repertoire variability, finding that most variability stems from VDJ generation and that inter-individual variance is small compared to intra-individual variance.