Login / Signup

Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images.

Bohan ZhangMei LiQiang KangZhonghan DengHua QinKui SuXiuwen FengLichuan ChenHuanlin LiuShuangsang FangYong ZhangYuxiang LiSusanne B PedersenXue Liu
Published in: GigaByte (Hong Kong, China) (2024)
The source code of STCellbin is available at https://github.com/STOmics/STCellbin.
Keyphrases
  • single cell
  • gene expression
  • rna seq
  • high resolution
  • high throughput
  • dna methylation
  • deep learning
  • convolutional neural network
  • mass spectrometry
  • optical coherence tomography
  • tandem mass spectrometry