xiaozhongshen

Hello! @DanieleMuraro I built the environment based on the environment file you provided. But I got a mistake in the second step. >>> dyn.tl.dynamics(adata, model='stochastic', cores=3) Traceback (most recent call...

@yanpinlu @stanaka6 Hello! Have you succeeded in creating the zebrafish cisTarget_database? I was still unable to created it, and can you share the file with me?

Thanks! [email protected]

I'm so sorry. Can you send message to my gmail mailbox? My gmail is [email protected] @yanpinlu

Hi! Any update for this question? I want to visualize the result of of density in normal and disease condition, how can I make the range of mellon_log_density_clipped keep the...

> Thank you for your patience. There’s no update on this issue yet, but you might find the `normalize` option for predicted values useful. You can find details in the...

Thanks! Can you help me check whether the code is right? model= mellon.DensityEstimator(d_method='fractal') log_density=model.fit_predict(data1.obsm["DM_EigenVectors"]) predictor=model.predict(data1.obsm["DM_EigenVectors"],normalize=True) data1.obs["mellon_log_density"] = predictor data1.obs["mellon_log_density_clipped"] = np.clip( predictor, *np.quantile(predictor, [0.05, 1]) ) However, I found the...