GloScope
Population-level Representation on scRNA-Seq data
Bioconductor version: 3.23 · Package version: 2.2.0
This package aims at representing and summarizing the entire single-cell profile of a sample. It allows researchers to perform important bioinformatic analyses at the sample-level such as visualization and quality control. The main functions Estimate sample distribution and calculate statistical divergence among samples, and visualize the distance matrix through MDS plots.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GloScope") Details
| Maintainer | Elizabeth Purdom <epurdom@stat.berkeley.edu> |
| Author | Elizabeth Purdom [aut, cre], William Torous [aut] (ORCID: <https://orcid.org/0000-0001-5668-5510>), Hao Wang [aut] (ORCID: <https://orcid.org/0000-0002-0749-474X>), Boying Gong [aut] |
| License | Artistic-2.0 |
| Bug Reports | https://github.com/epurdom/GloScope/issues |
| Downloads rank | 204 |
| Source branch | RELEASE_3_23 |
| biocViews | DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software |
Documentation
Download
Dependencies
Depends: R (>= 4.4.0)
Imports: utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang, RColorBrewer, pheatmap, vegan, cluster, boot, permute
Suggests: BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter