scTreeViz
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations
Bioconductor version: 3.23 · Package version: 1.18.0
scTreeViz provides classes to support interactive data aggregation and visualization of single cell RNA-seq datasets with hierarchies for e.g. cell clusters at different resolutions. The `TreeIndex` class provides methods to manage hierarchy and split the tree at a given resolution or across resolutions. The `TreeViz` class extends `SummarizedExperiment` and can performs quick aggregations on the count matrix defined by clusters.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scTreeViz") Details
| Maintainer | Jayaram Kancherla <jayaram.kancherla@gmail.com> |
| Author | Jayaram Kancherla [aut, cre], Hector Corrada Bravo [aut], Kazi Tasnim Zinat [aut], Stephanie Hicks [aut] |
| License | Artistic-2.0 |
| Downloads rank | 261 |
| Source branch | RELEASE_3_23 |
| biocViews | GUI, Infrastructure, SingleCell, Software, Visualization |
Documentation
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Dependencies
Depends: R (>= 4.0), methods, epivizr, SummarizedExperiment
Imports: data.table, S4Vectors, digest, Matrix, Rtsne, httr, igraph, clustree, scran, sys, epivizrData, epivizrServer, ggraph, scater, Seurat, SingleCellExperiment, ggplot2, stats, utils
Suggests: knitr, BiocStyle, testthat, SC3, scRNAseq, rmarkdown, msd16s, metagenomeSeq, epivizrStandalone, GenomeInfoDb