Package: GloScope 1.5.0

William Torous

GloScope: Population-level Representation on scRNA-Seq data

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.

Authors:William Torous [aut, cre], Hao Wang [aut], Elizabeth Purdom [aut], Boying Gong [aut]

GloScope_1.5.0.tar.gz
GloScope_1.5.0.zip(r-4.5)GloScope_1.5.0.zip(r-4.4)
GloScope_1.5.0.tgz(r-4.5-any)GloScope_1.5.0.tgz(r-4.4-any)
GloScope_1.5.0.tar.gz(r-4.5-noble)GloScope_1.5.0.tar.gz(r-4.4-noble)
GloScope_1.5.0.tgz(r-4.4-emscripten)
GloScope.pdf |GloScope.html✨
GloScope/json (API)
NEWS

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

Bug tracker:https://github.com/epurdom/gloscope/issues

Datasets:
  • example_SCE - SingleCellExperiment containing example inputs to GloScope
  • example_SCE_small - SingleCellExperiment containing example inputs to GloScope

On BioConductor:GloScope-1.5.0(bioc 3.21)GloScope-1.4.0(bioc 3.20)

datarepresentationqualitycontrolrnaseqsequencingsoftwaresinglecell

6.05 score 3 stars 84 scripts 202 downloads 3 exports 69 dependencies

Last updated 4 months agofrom:62fe7a12e0. Checks:5 OK, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winOKFeb 16 2025
R-4.5-macWARNINGFeb 16 2025
R-4.5-linuxOKFeb 16 2025
R-4.4-winOKFeb 16 2025
R-4.4-macOKFeb 16 2025

Exports:gloscopegloscope_proportionplotMDS

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurlDelayedArrayfansifarverFNNformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmgcvmimemunsellmvnfastnlmeopensslpillarpkgconfigR6RANNRColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVector

scRNA-Seq Population-level Analysis using GloScope

Hao Wang, William Torous, Elizabeth Purdom

Rendered fromGloScopeTutorial.Rmdusingknitr::rmarkdownon Feb 16 2025.

Last update: 2024-04-29
Started: 2023-08-16