Deep generative models for T cell receptor protein sequences

Deep generative models for T cell receptor protein sequences

Probabilistic models of adaptive immune repertoire sequence distributions can be used to infer the expansion of immune cells in response to stimulus, differentiate genetic from environmental factors that determine repertoire sharing, and evaluate the suitability of various target immune sequences fo...

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Bibliographic Details
Main Authors:	Kristian Davidsen, Branden J Olson, William S DeWitt III, Jean Feng, Elias Harkins, Philip Bradley, Frederick A Matsen IV
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2019-09-01
Series:	eLife
Subjects:	T cell receptor variational autoencoder repertoire modeling vaccine T cell expansion
Online Access:	https://elifesciences.org/articles/46935

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