Package: ggsc 1.3.0

Guangchuang Yu

ggsc: Visualizing Single Cell and Spatial Transcriptomics

Useful functions to visualize single cell and spatial data. It supports visualizing 'Seurat', 'SingleCellExperiment' and 'SpatialExperiment' objects through grammar of graphics syntax implemented in 'ggplot2'.

Authors:Guangchuang Yu [aut, cre, cph], Shuangbin Xu [aut], Noriaki Sato [ctb]

ggsc_1.3.0.tar.gz
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ggsc_1.3.0.tgz(r-4.4-arm64)ggsc_1.3.0.tgz(r-4.4-x86_64)ggsc_1.3.0.tgz(r-4.3-arm64)ggsc_1.3.0.tgz(r-4.3-x86_64)
ggsc_1.3.0.tar.gz(r-4.5-noble)ggsc_1.3.0.tar.gz(r-4.4-noble)
ggsc_1.3.0.tgz(r-4.4-emscripten)ggsc_1.1.4.tgz(r-4.3-emscripten)
ggsc.pdf |ggsc.html
ggsc/json (API)
NEWS

# Install 'ggsc' in R:
install.packages('ggsc', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yulab-smu/ggsc/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On BioConductor:ggsc-1.3.0(bioc 3.20)ggsc-1.2.0(bioc 3.19)

bioconductor-package

19 exports 1.80 score 165 dependencies

Last updated 2 months agofrom:77ee00c52d

Exports:aesdraw_key_scattermore2geom_scattermore2sc_dimsc_dim_countsc_dim_geom_ellipsesc_dim_geom_featuresc_dim_geom_labelsc_dim_geom_subsc_dim_subsc_dotsc_featuresc_geom_pointsc_spatialsc_violinscale_bg_color_manualscale_bg_colour_discretescale_bg_colour_manualtheme

Dependencies:abindaskpassbase64encBHBiobaseBiocGenericsbitopsbslibcachemcaToolscliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDelayedArraydeldirdigestdotCall64dplyrdqrngevaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggfunggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUImunsellnlmeopensslparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppParallelRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRtsneS4ArraysS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinySingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidydrtidyrtidyselecttinytexUCSC.utilsutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlyulab.utilszlibbioczoo

Visualizing single cell data

Rendered fromggsc.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2023-11-29
Started: 2023-09-08

Readme and manuals

Help Manual

Help pageTopics
Two-Dimensional Weighted Kernel Density Estimation And Mapping the Result To Original DimensionCalWkdeCpp
Key drawing functionsdraw_key_scattermore2
geom_scattermore2geom_scattermore2
sc_dimsc_dim sc_dim,Seurat sc_dim,Seurat-method sc_dim,SingleCellExperiment sc_dim,SingleCellExperiment-method
sc_dim_countsc_dim_count
sc_dim_geom_ellipsesc_dim_geom_ellipse
sc_dim_geom_featuresc_dim_geom_feature
sc_dim_geom_labelsc_dim_geom_label
sc_dim_geom_subsetsc_dim_geom_sub
sc_dim_subsc_dim_sub
sc_dotsc_dot sc_dot,Seurat sc_dot,Seurat-method sc_dot,SingleCellExperiment sc_dot,SingleCellExperiment-method
sc_featuresc_feature sc_feature,Seurat sc_feature,Seurat-method sc_feature,SingleCellExperiment sc_feature,SingleCellExperiment-method
sc_geom_pointsc_geom_point
sc_spatialsc_spatial sc_spatial,Seurat sc_spatial,Seurat-method sc_spatial,SingleCellExperiment sc_spatial,SingleCellExperiment-method
sc_violinsc_violin sc_violin,Seurat sc_violin,Seurat-method sc_violin,SingleCellExperiment sc_violin,SingleCellExperiment-method
Create your own discrete scalescale_bg_color_identity scale_bg_color_manual scale_bg_colour_discrete scale_bg_colour_identity scale_bg_colour_manual