UniTVelo for temporally unified RNA velocity analysis

Temporally unified RNA velocity for single cell trajectory inference (UniTVelo) is implementated on Python 3 and TensorFlow 2. The model estimates velocity of each gene and updates cell time based on phase portraits concurrently.

https://github.com/StatBiomed/UniTVelo/blob/main/figures/HumanBoneMarrow.png?raw=true

The major features of UniTVelo are,

Using spliced RNA oriented design to model RNA velocity and transcription rates
Introducing a unified latent time (Unified-time mode) across whole transcriptome to incorporate stably and monotonically changed genes
Retaining gene-spcific time matrics (Independent mode) for complex datasets

UniTVelo has proved its robustness in 10 different datasets. Details can be found via our manuscript in bioRxiv which is currently under review (UniTVelo).