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Found 7 papers, 6 papers with code
Variability in the local and global composition of human T-cell receptor repertoires during thymic development across cell types and individuals
The adaptive immune response relies on T cells that combine phenotypic specialization with diversity of T cell receptors (TCRs) to recognize a wide range of pathogens.
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories
One class of methods uses data simulated with different parameters to infer models of the likelihood-to-evidence ratio, or equivalently the posterior function.
Deep generative selection models of T and B cell receptor repertoires with soNNia
Additionally to these functional roles, T and B-cell lymphocytes rely on the diversity of their receptor chains to recognize different pathogens.
Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity
Using single-cell sequencing, we verified reactivity of BCRs shared among individuals to SARS-CoV-2 epitopes.
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with applications in many brain areas.
SOS: Online probability estimation and generation of T and B cell receptors
Recent advances in modelling VDJ recombination and subsequent selection of T and B cell receptors provide useful tools to analyze and compare immune repertoires across time, individuals, and tissues.
On generative models of T-cell receptor sequences
T-cell receptors (TCR) are key proteins of the adaptive immune system, generated randomly in each individual, whose diversity underlies our ability to recognize infections and malignancies.
Quantitative Methods
