Generative models of T-cell receptor sequences

Quantification of inter-sample differences in T cell receptor sequences

2 Inter-sample comparisons of the T cell receptor (TCR) repertoire are crucial for gaining a better 3 understanding into the immunological states determined by different collections of T cells from 4 different donor sites, cell types, and genetic and pathological backgrounds. As a theoretical 5 approach for the quantitative comparison, previous studies utilized the Poisson abundance models 6 an...

clonotypeR—high throughput analysis of T cell antigen receptor sequences

Generative Statistical Models with Self-Emergent Grammar of Chord Sequences

Generative statistical models of chord sequences play crucial roles in music processing. To capture syntactic similarities among certain chords (e.g. in C major key, between G and G7 and between F and Dm), we study hidden Markov models and probabilistic context-free grammar models with latent variables describing syntactic categories of chord symbols and their unsupervised learning techniques f...

Self Tolerance to T Cell Receptor V ~ Sequences

T cell tolerance to self is achieved by deletion or inactivation of clones recognizing peptides of self proteins presented by major histocompatibility complex molecules. A considerable fraction of self proteins accessible to the immune system is contributed by the system itself, for example, the receptors used for antigen recognition (antibodies and T cell receptors [TCKs]). Thus far, it has re...

Self tolerance to T cell receptor V beta sequences

T cell tolerance to self is achieved by deletion or inactivation of clones recognizing peptides of self proteins presented by major histocompatibility complex molecules. A considerable fraction of self proteins accessible to the immune system is contributed by the system itself, for example, the receptors used for antigen recognition (antibodies and T cell receptors [TCRs]). Thus far, it has re...