Mercurial > repos > iuc > liana_plot
comparison README.md @ 0:8b9b8d358883 draft default tip
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/main/tools/liana commit 8dc656081d3147b402485bd25affe05a22e5194e
| author | iuc |
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| date | Tue, 10 Mar 2026 13:41:01 +0000 |
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| 1 LIANA+ | |
| 2 ====== | |
| 3 | |
| 4 Galaxy tools for [LIANA+](https://liana-py.readthedocs.io/), a framework for cell-cell communication analysis. | |
| 5 | |
| 6 ## Tools | |
| 7 | |
| 8 ### 1. Single Cell Methods (`single_cell.xml`) | |
| 9 | |
| 10 Ligand-receptor inference methods for single-cell data. | |
| 11 | |
| 12 Method | Description | |
| 13 --- | --- | |
| 14 `cellchat` | CellChat ligand-receptor method | |
| 15 `cellphonedb` | CellPhoneDB ligand-receptor method | |
| 16 `connectome` | Connectome ligand-receptor method | |
| 17 `logfc` | Log fold change ligand-receptor method | |
| 18 `natmi` | NATMI ligand-receptor method | |
| 19 `singlecellsignalr` | SingleCellSignalR ligand-receptor method | |
| 20 `geometric_mean` | Geometric mean ligand-receptor method | |
| 21 `rank_aggregate` | Aggregate rankings from multiple methods | |
| 22 | |
| 23 ### 2. Spatial Methods (`spatial.xml`) | |
| 24 | |
| 25 Spatial ligand-receptor analysis using bivariate metrics. | |
| 26 | |
| 27 Method | Description | |
| 28 --- | --- | |
| 29 `bivariate` | Bivariate local spatial metrics for ligand-receptor analysis | |
| 30 | |
| 31 #### Bivariate Metrics | |
| 32 | |
| 33 **Local metrics:** | |
| 34 | |
| 35 Metric | Description | |
| 36 --- | --- | |
| 37 `cosine` | Weighted cosine similarity | |
| 38 `jaccard` | Weighted Jaccard similarity | |
| 39 `pearson` | Weighted Pearson correlation | |
| 40 `spearman` | Weighted Spearman correlation | |
| 41 `masked_spearman` | Masked and weighted Spearman correlation | |
| 42 `product` | Simple weighted product | |
| 43 `norm_product` | Normalized weighted product | |
| 44 `morans` | Moran's R | |
| 45 | |
| 46 **Global metrics:** | |
| 47 | |
| 48 Metric | Description | |
| 49 --- | --- | |
| 50 `morans` | Moran's I (global spatial autocorrelation) | |
| 51 `lee` | Lee's L (bivariate spatial association) | |
| 52 | |
| 53 ### 3. Spatial Relationships (`spatial_relationships.xml`) | |
| 54 | |
| 55 Multi-view spatial modelling with MISTy. | |
| 56 | |
| 57 Method | Description | |
| 58 --- | --- | |
| 59 `genericMistyData` | Generic MISTy multi-view modelling | |
| 60 `lrMistyData` | Ligand-receptor MISTy modelling | |
| 61 | |
| 62 #### MISTy Models | |
| 63 | |
| 64 Model | Description | |
| 65 --- | --- | |
| 66 `RandomForestModel` | Random Forest (uses out-of-bag predictions) | |
| 67 `LinearModel` | Linear regression (uses cross-validation) | |
| 68 `RobustLinearModel` | Robust linear regression | |
| 69 | |
| 70 #### Kernel Functions | |
| 71 | |
| 72 Kernel | Description | |
| 73 --- | --- | |
| 74 `misty_rbf` | MISTy RBF kernel (Gaussian derivative) | |
| 75 `gaussian` | Gaussian kernel | |
| 76 `exponential` | Exponential kernel | |
| 77 `linear` | Linear kernel | |
| 78 | |
| 79 ### 4. Plotting (`plot.xml`) | |
| 80 | |
| 81 Visualization tools for LIANA results. | |
| 82 | |
| 83 Method | Description | |
| 84 --- | --- | |
| 85 `dotplot` | Dot plot of ligand-receptor interactions | |
| 86 `tileplot` | Tile plot of interactions | |
| 87 `connectivity` | Spatial connectivity visualization | |
| 88 | |
| 89 ### 5. Available Resources | |
| 90 | |
| 91 Built-in ligand-receptor resources from `li.resource.show_resources()`: | |
| 92 | |
| 93 - `consensus` (default) | |
| 94 - `baccin2019` | |
| 95 - `cellcall` | |
| 96 - `cellchatdb` | |
| 97 - `cellinker` | |
| 98 - `cellphonedb` | |
| 99 - `celltalkdb` | |
| 100 - `connectomedb2020` | |
| 101 - `embrace` | |
| 102 - `guide2pharma` | |
| 103 - `hpmr` | |
| 104 - `icellnet` | |
| 105 - `italk` | |
| 106 - `kirouac2010` | |
| 107 - `lrdb` | |
| 108 - `mouseconsensus` | |
| 109 - `ramilowski2015` | |
| 110 | |
| 111 ## References | |
| 112 | |
| 113 - Dimitrov, D., Türei, D., Garrido-Rodriguez, M. et al. Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. Nat Commun 13, 3224 (2022). https://doi.org/10.1038/s41467-022-30755-0 | |
| 114 - Tanevski, J., Flores, R.O.R., Gabor, A. et al. Explainable multiview framework for dissecting spatial relationships from highly multiplexed data. Genome Biol 23, 97 (2022). | |
| 115 - [LIANA+ Documentation](https://liana-py.readthedocs.io/) | |
| 116 - [LIANA+ GitHub](https://github.com/saezlab/liana-py) |
