publication . Part of book or chapter of book . 2017

sampling from t cell receptor repertoires

Ferrarini, M; Molina-Paris, C; Lythe, G;
Open Access
  • Published: 01 Jan 2017
  • Publisher: Springer International Publishing
  • Country: United Kingdom
Modern single-cell sequencing techniques allow the unique T cell receptor (TCR) signature of each of a sample of hundreds of T cells to be read. The mathematical challenge is to extrapolate from the properties of a sample to those of the whole repertoire of an individual, made up of many millions of T cells. We consider the distribution of the number of repeats of any TCR in a sample, the mean number of cells needed to find a repeat with probability one half, and the relationship between the true distribution of clonal sizes and that experimentally observed in a sample. In the simplest hypothesis for the structure of the repertoire, the same number of cells make...
free text keywords: Biology, Geometric distribution, Statistics, Sampling (statistics), Computational biology, Repertoire, T-cell receptor, Bernoulli distribution
Funded by
Quantitative T cell Immunology
  • Funder: European Commission (EC)
  • Project Code: 317040
  • Funding stream: FP7 | SP3 | PEOPLE
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