Skip to contents

tinydenseR is a landmark-based platform for single cell data analysis that identifies differential cell states and features, including subtle within-cluster state changes. Modeling samples as replicates, tinydenseR enhances analytic efficiency and reproducibility while preserving the richness of single cell data.

Author

Maintainer: Pedro Milanez-Almeida pedro.milanez@novartis.com (ORCID)

Authors: