You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi there, I apologize if this question has already been asked but I was wondering if it is possible to calculate cell type specific splicing kinetics (i.e., fit_alpha, fit_beta, fit_gamma) for each gene? I have a dataset with two different conditions and am interested in understanding if splicing kinetics changes between conditions as well as between cell types. I have already tried subsetting my data by cell type and then running scv.tl.recover_dynamics and scv.tl.velocity(adata, mode='dynamical'), but was wondering if there might be another built in function for this purpose?
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Hi there, I apologize if this question has already been asked but I was wondering if it is possible to calculate cell type specific splicing kinetics (i.e., fit_alpha, fit_beta, fit_gamma) for each gene? I have a dataset with two different conditions and am interested in understanding if splicing kinetics changes between conditions as well as between cell types. I have already tried subsetting my data by cell type and then running scv.tl.recover_dynamics and scv.tl.velocity(adata, mode='dynamical'), but was wondering if there might be another built in function for this purpose?
Beta Was this translation helpful? Give feedback.
All reactions