MethodVASC: Dimension Reduction and Visualization of Single-cell RNA-seq Data by Deep Variational Autoencoder
Under a Creative Commons license
open access
Keywords
Single cell RNA sequencing
Deep variational autoencoder
Dimension reduction
Visualization
Dropout
Cited by (0)
Peer review under responsibility of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.
- a
ORCID: 0000-0003-1368-028X.
- b
ORCID: 0000-0003-3968-8036.
© 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China.