Deep generative models for T cell receptor protein sequences
elifesciences.org
we use a semiparametric method that makes a single weak assumption: that there exists some small number of latent parameters that can be used to generate to the observed distribution. We make no assumptions about the function mapping from these parameters to the high-dimensional distribution space a
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- we use a semiparametric method that makes a single weak assumption: that there exists some small number of latent parameters that can be used to generate to the observed distribution. We make no assumptions about the function mapping from these parameters to the high-dimensional distribution space and learn it from the data.
- We have learned that this biology-agnostic approach can provide good results, even when compared to a previous approach that formalizes the considerable biological knowledge we have concerning the mechanism of VDJ recombination.
- variational autoencoder (VAE)
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