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

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.