r-nichenetr 2.0.4
Propagated dependencies: r-caret@7.0-1 r-catools@1.18.3 r-circlize@0.4.17 r-complexheatmap@2.26.1 r-cowplot@1.2.0 r-data-table@1.18.2.1 r-diagrammer@1.0.12 r-dicekriging@1.6.1 r-dplyr@1.2.0 r-e1071@1.7-17 r-emoa@0.5-3 r-fdrtool@1.2.18 r-ggforce@0.5.0 r-ggnewscale@0.5.2 r-ggplot2@4.0.2 r-ggpubr@0.6.3 r-hmisc@5.2-5 r-igraph@2.2.2 r-limma@3.66.0 r-magrittr@2.0.4 r-matrix@1.7-4 r-mlrmbo@1.1.6 r-parallelmap@1.5.1 r-purrr@1.2.1 r-randomforest@4.7-1.2 r-readr@2.2.0 r-rocr@1.0-12 r-seurat@5.4.0 r-shadowtext@0.1.6 r-tibble@3.3.1 r-tidyr@1.3.2
Channel: guix-science
Home page: https://github.com/saeyslab/nichenetr
Licenses: GPL 3
Build system: r
Synopsis: R implementation of the NicheNet method
Description:
The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest.
Total packages: 1