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DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data.

Cameron ParkShouvik ManiNicolas Beltran-VelezKatie MaurerSatyen GohilShuqiang LiTeddy HuangDavid A KnowlesCatherine J WuElham Azizi
Published in: bioRxiv : the preprint server for biology (2023)
DIISCO is publicly accessible at https://github.com/azizilab/DIISCO_public . All data will be deposited to GEO upon publication.
Keyphrases
  • single cell
  • electronic health record
  • big data
  • healthcare
  • rna seq
  • mental health
  • high throughput
  • machine learning
  • artificial intelligence
  • adverse drug
  • cell adhesion