I am working with 10x visium spatial transcriptomics data.
When reading the function documentation for computeCommunProb, I noticed that there are a few parameters that seem to affect whether distance affects the communication probability, namely distance.use, interaction.length, and scale.distance.
How do I set these parameters such that distance does not play a role in the prediction of communication probability? I am working with data where there would be anticipated long-distance cell-cell communication events, so I do not want long distances to affect calculated communication probability.
@jessielam415 One option is to set a larger interaction length so that it will not affect whether the two cell group can communicate. Another option is to treat the data as scRNA-seq data.
I am working with 10x visium spatial transcriptomics data. When reading the function documentation for computeCommunProb, I noticed that there are a few parameters that seem to affect whether distance affects the communication probability, namely distance.use, interaction.length, and scale.distance. How do I set these parameters such that distance does not play a role in the prediction of communication probability? I am working with data where there would be anticipated long-distance cell-cell communication events, so I do not want long distances to affect calculated communication probability.