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ENTRAIN: integrating trajectory inference and gene regulatory networks with spatial data to co-localize the receptor-ligand interactions that specify cell fate.

Wunna KyawRyan C ChaiWeng Hua KhooLeonard D GoldsteinPeter I CroucherJohn M MurrayTri Giang Phan
Published in: Bioinformatics (Oxford, England) (2023)
ENTRAIN is available as a public package at https://github.com/theimagelab/entrain and can be used on both single-cell and spatially resolved datasets.
Keyphrases
  • single cell
  • cell fate
  • rna seq
  • healthcare
  • high throughput
  • electronic health record
  • mental health
  • big data
  • binding protein
  • machine learning
  • adverse drug
  • network analysis