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_1.3.1.zip(r-4.3)
GloScope_1.5.0.tgz(r-4.4-any)GloScope_1.3.1.tgz(r-4.3-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_1.3.1.tgz(r-4.3-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'))

Peer review:

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

6.07 score 3 stars 87 scripts 164 downloads 3 exports 70 dependencies

Last updated 2 months agofrom:62fe7a12e0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-winOKDec 18 2024
R-4.5-linuxOKDec 18 2024
R-4.4-winOKDec 18 2024
R-4.4-macOKDec 18 2024
R-4.3-winOKOct 02 2024
R-4.3-macOKOct 02 2024

Exports:gloscopegloscope_proportionplotMDS

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurlDelayedArrayfansifarverFNNformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmgcvmimemunsellmvnfastnlmeopensslpillarpkgconfigR6RANNRColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

scRNA-Seq Population-level Analysis using GloScope

Hao Wang, William Torous, Elizabeth Purdom

Rendered fromGloScopeTutorial.Rmdusingknitr::rmarkdownon Dec 18 2024.

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