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Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance.

Cindy FangAlina SelegaKieran R Campbell
Published in: Genome biology (2024)
Supervised machine learning models have utility for recommending analysis pipelines and therefore the potential to alleviate the burden of choosing from the near-infinite number of possibilities. Different aspects of datasets influence the predictive performance of such models which will further guide users.
Keyphrases
  • rna seq
  • single cell
  • machine learning
  • high throughput
  • big data
  • deep learning
  • climate change
  • human health
  • data analysis