Biologically informed deep learning to query gene programs in single-cell atlases

HIGHLIGHTS

• who: Mohammad Lotfollahi from the (UNIVERSITY) have published the paper: Biologically informed deep learning to query gene programs in single-cell atlases, in the Journal: (JOURNAL)
• what: The authors propose expiMap, a biologically informed deep-learning architecture that enables single-cell reference mapping. The authors show that expiMap compares favourably to existing methods while bringing an additional layer of interpretability to integrative single-cell analysis. The authors demonstrate its applicability to analyse single-cell perturbation responses in different tissues and species and resolve responses of patients who have coronavirus disease 2019 to different treatments across . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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