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To explore more, the task of Explore CellPhoneDB results allows users to filter CellPhoneDB results by specifying the cell type pairs and genes of interest.  After clicking the CellPhoneDB data node (Figure 4a), one will find there's only task triggered under Exploratory analysis menu (Figure 4b).  Its GUI is also simple and easy to understand (Figure 4c). Genes of interest are data dependent and usually come from the published results of similar studies or the differential gene analysis between different conditions (eg, cancer patient vs healthy controls).   Once set up, click the Finish button to submit the job.

Double click the CellPhoneDB result Output matrix data node will open the task report in Data Viewer. It is a heatmap that summarizes how many significant interactions identified in the another variant of heatmap that displays how  genes of your interest interact with each other in the defined cell type pairs (Figure 35). To explore more, the task of Explore CellPhoneDB results allows users to filter CellPhoneDB results by specifying the cell type pairs and genes of interest.  After clicking the CellPhoneDB data node (Figure 4a), one will find there's only task triggered under Exploratory analysis menu (Figure 4b).  Its GUI is also simple and easy to understand (Figure 4c). Genes of interest are data dependent and usually come from the published results of similar studies or the differential gene analysis between different conditions (eg, cancer patient vs healthy controls).  Once set up, click the Finish button to submit the job.The exampled plot also indicates the data are from two environments. For instructions on setting up the Micro environment file for your spatial study, refer to Figure 2. 

Double click the CellPhoneDB result data node will open the task report in Data Viewer. It is a heatmap that summarizes how many significant interactions identified in the cell type pairs (Figure 3).

References

1. Cusanovich, D., Reddington, J., Garfield, D. et al. The cis-regulatory dynamics of embryonic development at single-cell resolution. Nature 555, 538–542 (2018). https://doi.org/10.1038/nature25981

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