R: Generating Protein Sequences with Deep Generative Models

# Generating Protein Sequences with Deep Generative Models

## Documentation for package ‘GenProSeq’ version 1.16.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

example_luxA | Example Data for Protein Sequences
example_PTEN | Example Data for Protein Sequences
fit_ART | Autoregressive language model with Transformer
fit_GAN | Generative adversarial network for generating protein sequences
fit_VAE | Variational autoencoder for generating protein sequences
gen_ART | Autoregressive language model with Transformer
gen_GAN | Generative adversarial network for generating protein sequences
gen_VAE | Variational autoencoder for generating protein sequences
layer_embedding_token_position | Transformer model
layer_transformer_encoder | Transformer model
prot2vec | Converting from protein sequences to vectors or vice versa.
prot_seq_check | Check a protein sequence
vec2prot | Converting from protein sequences to vectors or vice versa.