Con-aae: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration

HIGHLIGHTS

• who: Bioinformatics and colleagues from the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong SAR, China have published the article: Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration, in the Journal: (JOURNAL)
• what: The authors demonstrate its advantages on several datasets. com/kakarotcq/Con-AAE. To promote the single-cell multi-omics data_analysis, the authors propose a framework based on Contrastive cycle adversarial Autoencoders (Con-AAE), which can integrate multi-omics data (Fig 1b). The authors show that lowering the In-Batch . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.