Package: ivis
Title: Artificial neural network-driven visualization of high-dimensional data using triplets. 
Version: 1.1.3
Authors@R: c(person("Benjamin", "Szubert", email = "bszubert@beringresearch.com", role = c("aut", "cre")),
         person("Ignat", "Drozdov", email = "idrozdov@beringresearch.com", role = c("aut")))
Description: Implementation of the ivis algorithm as described in the paper:
  'Structure-preserving visualisation of high dimensional single-cell data'.
  This algorithm uses a siamese neural network trained on triplets to reduce the dimensionality of data to two dimensions for visualization.
  Each triplet is sampled from one of the k nearest neighbours as approximated by the Annoy library, with neighbouring points being pulled
  together and non-neighours being pushed away.
Depends: R (>= 3.4.3)
Imports: reticulate
License: MIT 
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
