Characterize gene dynamics using interpretable model coefficients

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 and Bacher R. (2023). Interpretable trajectory inference with single-cell Linear Adaptive Negative-binomial Expression (scLANE) testing. bioRxiv. https://doi.org/10.1101/2023.12.19.572477

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 result file can be visualized using scLANE tools.

Any questions or issues can be reported at GitHub

We'll send the results to your email.
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Only scLANE RDS file accepted; the required format can be generated with scLANE tools.