Bayesian multivariate Poisson abundance models for T-cell receptor data.

ABSTRACT: A major feature of an adaptive immune system is its ability to generate B- and T-cell clones capable of recognizing and neutralizing specific antigens. These clones recognize antigens with the help of the surface molecules, called antigen receptors, acquired individually during the clonal development process. In order to ensure a response to a broad range of antigens, the number of different receptor molecules is extremely large, resulting in a huge clonal diversity of both B- and T-cell receptor populations and making their experimental comparisons statistically challenging. To facilitate such comparisons, we propose a flexible parametric model of multivariate count data and illustrate its use in a simultaneous analysis of multiple antigen receptor populations derived from mammalian T-cel

SUBMITTER: Greene J 

PROVIDER: S-EPMC3972257 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature