vae_generate: Simulate B or T cell receptor sequences by variational...
In alexyermanos/Echidna: Single Cell Immune Repertoire and Transcriptome Simulation

Simulate B or T cell receptor sequences by variational autoencodes(VAEs) trained with experimental data.

vae_generate(
  sequence,
  n.train,
  n.sample,
  batch.size,
  latent.dim,
  intermediate.dim,
  epochs,
  epsilon.std,
  null.threshold
)

`sequence`	a vector of seuqnece the model to be trained on
`n.train`	number of sequence to be used in training set, the rest will be in testing set
`n.sample`	number of new sequence to generate from VAE model
`batch.size`	set to larger to save time, set to smaller to same computing power
`latent.dim`	parameter used in VAE model
`intermediate.dim`	parameter used in VAE model
`epochs`	parameter used in VAE model
`epsilon.std`	parameter used in VAE model
`null.threshold`	threshold of predicted value to be considered as an existing base, default is 0.05. When generated sequence is too short, lower this threshold.