r-seurat 5.5.0
Propagated dependencies: r-cluster@2.1.8.2 r-cowplot@1.2.0 r-fastdummies@1.7.6 r-fitdistrplus@1.2-6 r-future@1.70.0 r-future-apply@1.20.2 r-generics@0.1.4 r-ggplot2@4.0.3 r-ggrepel@0.9.8 r-ggridges@0.5.7 r-httr@1.4.8 r-ica@1.0-3 r-igraph@2.3.2 r-irlba@2.3.7 r-jsonlite@2.0.0 r-kernsmooth@2.23-26 r-lifecycle@1.0.5 r-lmtest@0.9-40 r-mass@7.3-65 r-matrix@1.7-5 r-matrixstats@1.5.0 r-miniui@0.1.2 r-patchwork@1.3.2 r-pbapply@1.7-4 r-plotly@4.12.0 r-png@0.1-9 r-progressr@0.19.0 r-rann@2.6.2 r-rcolorbrewer@1.1-3 r-rcpp@1.1.1-1.1 r-rcppannoy@0.0.23 r-rcppeigen@0.3.4.0.2 r-rcpphnsw@0.7.0 r-rcppprogress@0.4.2 r-reticulate@1.46.0 r-rlang@1.2.0 r-rocr@1.0-12 r-rspectra@0.16-2 r-rtsne@0.17 r-scales@1.4.0 r-scattermore@1.2 r-sctransform@0.4.3 r-seuratobject@5.4.0 r-shiny@1.13.0 r-spatstat-explore@3.8-1 r-spatstat-geom@3.8-1 r-tibble@3.3.1 r-uwot@0.2.4
Channel: guix
Home page: https://www.satijalab.org/seurat
Licenses: GPL 3
Build system: r
Synopsis: Seurat is an R toolkit for single cell genomics
Description:
This package is an R package designed for QC, analysis, and exploration of single cell RNA-seq data. It easily enables widely-used analytical techniques, including the identification of highly variable genes, dimensionality reduction; PCA, ICA, t-SNE, standard unsupervised clustering algorithms; density clustering, hierarchical clustering, k-means, and the discovery of differentially expressed genes and markers.
Total packages: 1