Nature Communications (Oct 2022)

Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data

  • Junyi Chen,
  • Xiaoying Wang,
  • Anjun Ma,
  • Qi-En Wang,
  • Bingqiang Liu,
  • Lang Li,
  • Dong Xu,
  • Qin Ma

DOI
https://doi.org/10.1038/s41467-022-34277-7
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Single-cell RNA-seq data provide the opportunity to predict drug response in cancer while considering intratumour heterogeneity. Here, the authors develop a deep transfer learning framework - scDEAL - to predict single-cell drug responses in cancer by integrating single-cell and bulk RNA-seq data.