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CrossTalkeR v1.4.0
- Splitted generate_report function in two parts:
- analise_LR() to only run the analysis without generating the CrossTalkeR report
- make_report() to only generate a new CrossTalkeR report for existing CrossTalkeR results
- Added node types to the network:
- we now consider the annotation of a gene as ligand (L) or receptor (R) to consider the biological function
- Less constrains on the cell cluster name annotation (only ‘$’ must be avoided in the cluster naming)
- Integration with liana-py for ligand-receptor interaction predictions
CrossTalkeR v1.3.0
- Single and Comparative Reports
- Cell Cell Interaction visualization
- Sending and Receiving Cells Ranking
- Gene Target based Sankey Plots
- CCI and GCI PCA ranking
- All measures and PC table
- PC1 and PC2 based barplot
- Leimkühler et. al. [2] data were added to the package
- Fisher Test were implemented to highlight the CCI edges significance (new) 🔥NEW🔥
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Change input format: Please see the Documentation 🔥NEW🔥
- A python3 notebook are available to cast the old input to the new input.
- Liana (Dimitrov et. al. [3]) Output can be used as CrossTalkeR input. 🔥NEW🔥
- LR pair visualization plot can be done using a Seurat Object 🔥NEW🔥