encoderModel_gaussian_kernel: Guassian kernel

In quon-titative-biology/scAlign: An alignment and integration method for single cell genomics

Description

Tensorflow implementation of tsne's gaussian_kernel, accepts tensors of float64 (for precision) and returns tensors of float32

Usage

encoderModel_gaussian_kernel(
  data,
  data_b = NULL,
  dim,
  perplexity = 30,
  method = "euclidean",
  betas.fixed = 0,
  diag = "zero"
)

Arguments

data	cell x feature data matrix
data_b	second cell x feature data matrix, if none provided then data_b = data
dim	number of cells in of mini-batch
perplexity	neighborhood parameter for gaussian kernel
method	distance metric prior to computing probabilities
diag	indicator for self similarity

Value

Tensorflow op

quon-titative-biology/scAlign documentation built on Nov. 17, 2021, 9:57 a.m.