HIGHLIGHTS
- who: Andrea Riba from the Universitu00e9 have published the paper: Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
- what: The authors characterize the branching point where human fibroblasts exit from the cell cycle. The method will allow the analysis of trajectories without making assumptions about the model parameters, enabling more focus on the dynamics of the single gene.
- how: The authors compared DeepCycle with Cyclum7 a recent method developed for the analysis of the cell cycle in scRNA-seq data also based . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.