Characterize gene dynamics from single-cell RNA-seq trajectories

The scLANE R package enables users to accurately determine dynamic differential expression of genes over pseudotime or latent time and to characterize gene dynamics using interpretable model coefficients. If you use scLANE in your research, please cite:

Leary, J, Dong, X, and Bacher, R. Interpretable trajectory inference with single-cell linear adaptive negative-binomial expression (scLANE) testing. Nucleic Acids Research, 54(2), p.gkaf1494.
https://doi.org/10.1093/nar/gkaf1494

Upload your dataset below directly to queue it for analysis with scLANE. We'll send you an email when the results are ready for download. The output file can then be visualized with scLANE tools.

Any questions or issues can be reported at GitHub.