Bmvae: a variational autoencoder method for clustering single-cell mutation data

HIGHLIGHTS

• who: Bioinformatics, and Editor Inanc, Birol from the School of Information Engineering, Ningxia University, Yinchuan, China and Collaborative Innovation Center for Ningxia Big have published the Article: bmVAE: a variational autoencoder method for clustering single-cell mutation data, in the Journal: (JOURNAL)
• what: The authors assess the method on various synthetic datasets where different factors including false negative rate data size and data heterogeneity are considered in simulation and further demonstrate its effectiveness on two real datasets. 2.1 VAE for dimensionality reduction Given a binary genotype matrix X of N cells at M genomic . . .
  

   

  

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