However, when using my original human scRNA-seq data, the generate_prioritization_tables() step created only an empty result as follows, although all steps before this step had likely been done successfully.
prioritizing_weights = prioritizing_weights)
Joining with by = join_by(sender, receiver, ligand, receptor)
Joining with by = join_by(sender, ligand, lfc_ligand, p_val_ligand)
Joining with by = join_by(ligand)
Joining with by = join_by(receiver, receptor, lfc_receptor, p_val_receptor)
Joining with by = join_by(sender, ligand, avg_ligand)
Joining with by = join_by(receiver, receptor, avg_receptor)
Joining with by = join_by(ligand)
Joining with by = join_by(receptor)
prior_table
Hi Thank you very much for your great contributions.
I tried to run "Perform NicheNet analysis with prioritization (https://github.com/saeyslab/nichenetr/blob/master/vignettes/seurat_steps_prioritization.md)" codes initially using the provided mouse data for this vignette and this worked well.
However, when using my original human scRNA-seq data, the generate_prioritization_tables() step created only an empty result as follows, although all steps before this step had likely been done successfully.
Do you have any idea regarding the cause and solution of this trouble? Happy if you kindly help me. Thank you very much in advance.