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      /\ \         /\ \ /\ \     /\_\      / /\
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     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-sccore 1.0.6
Propagated dependencies: r-dplyr@1.1.4 r-ggplot2@4.0.1 r-ggrepel@0.9.6 r-igraph@2.2.1 r-irlba@2.3.5.1 r-magrittr@2.0.4 r-matrix@1.7-4 r-pbmcapply@1.5.1 r-proc@1.19.0.1 r-rcpp@1.1.0 r-rcpparmadillo@15.2.2-1 r-rcppeigen@0.3.4.0.2 r-rcppprogress@0.4.2 r-rlang@1.1.6 r-scales@1.4.0 r-seurat@5.3.1 r-tibble@3.3.0 r-uwot@0.2.4 r-withr@3.0.2
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/kharchenkolab/sccore
Licenses: GPL 3
Build system: r
Synopsis: Core utilities for single-cell RNA-Seq
Description:

This package implements core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with DE matrices and count matrices, a collection of functions for manipulating and plotting data via ggplot2, and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP, collapsing vertices of each cluster in the graph, and propagating graph labels.

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