_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-nichenetr 2.0.4
Propagated dependencies: r-caret@7.0-1 r-catools@1.18.3 r-circlize@0.4.16 r-complexheatmap@2.24.0 r-cowplot@1.1.3 r-data-table@1.17.4 r-diagrammer@1.0.11 r-dicekriging@1.6.0 r-dplyr@1.1.4 r-e1071@1.7-16 r-emoa@0.5-3 r-fdrtool@1.2.18 r-ggforce@0.4.2 r-ggnewscale@0.5.1 r-ggplot2@3.5.2 r-ggpubr@0.6.0 r-hmisc@5.2-3 r-igraph@2.1.4 r-limma@3.64.1 r-magrittr@2.0.3 r-matrix@1.7-3 r-mlrmbo@1.1.5.1 r-parallelmap@1.5.1 r-purrr@1.0.4 r-randomforest@4.7-1.2 r-readr@2.1.5 r-rocr@1.0-11 r-seurat@5.3.0 r-shadowtext@0.1.4 r-tibble@3.2.1 r-tidyr@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/saeyslab/nichenetr
Licenses: GPL 3
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 results: 1