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Interpretable deep learning in single-cell omics.

Manoj M WagleSiqu LongCarissa ChenChunlei LiuPengyi Yang
Published in: Bioinformatics (Oxford, England) (2024)
In this work, we introduce the basics of single-cell omics technologies and the concept of interpretable deep learning. This is followed by a review of the recent interpretable deep learning models applied to various single-cell omics research. Lastly, we highlight the current limitations and discuss potential future directions.
Keyphrases
  • single cell
  • deep learning
  • rna seq
  • artificial intelligence
  • convolutional neural network
  • high throughput
  • machine learning
  • climate change