Scale data for scvelo

[lh12565]

Hi, I have a anndata converted by seurat data which adata.X was scaled and have a umap. I found adata.X in tutorial was only normalised, not scaled. I am not sure whether the expression matrix will be used except dimensionality reduction. I want to know if I can run it as below:

adata=scv.read('adata.h5ad')  #adata.X is normalised and scaled and have a umap
loom=scv.read('my.loom', cache=True)  #velocyto: run10x output
rep2=scv.utils.merge(adata,loom)
scv.pp.filter_and_normalize(rep2, min_shared_counts=20, n_top_genes=3000)  # normalised  expression matrix was skipped.  Only for spliced and unspliced matrix.
scv.pp.moments(rep2, n_pcs=30, n_neighbors=30)

scv.tl.recover_dynamics(rep2)
scv.tl.velocity(rep2, mode='dynamical')
scv.tl.velocity_graph(rep2)
scv.pl.velocity_embedding_stream(rep2, basis='umap',color='celltype',save='umap-velocity_embedding.png')

Thanks!