Package: aggregateBioVar 1.23.0

Jason Ratcliff

aggregateBioVar: Differential Gene Expression Analysis for Multi-subject scRNA-seq

For single cell RNA-seq data collected from more than one subject (e.g. biological sample or technical replicates), this package contains tools to summarize single cell gene expression profiles at the level of subject. A SingleCellExperiment object is taken as input and converted to a list of SummarizedExperiment objects, where each list element corresponds to an assigned cell type. The SummarizedExperiment objects contain aggregate gene-by-subject count matrices and inter-subject column metadata for individual subjects that can be processed using downstream bulk RNA-seq tools.

Authors:Jason Ratcliff [aut, cre], Andrew Thurman [aut], Michael Chimenti [ctb], Alejandro Pezzulo [ctb]

aggregateBioVar_1.23.0.tar.gz
aggregateBioVar_1.23.0.zip(r-4.7)aggregateBioVar_1.23.0.zip(r-4.6)aggregateBioVar_1.23.0.zip(r-4.5)
aggregateBioVar_1.23.0.tgz(r-4.6-any)aggregateBioVar_1.23.0.tgz(r-4.5-any)
aggregateBioVar_1.23.0.tar.gz(r-4.7-any)aggregateBioVar_1.23.0.tar.gz(r-4.6-any)
aggregateBioVar_1.23.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
aggregateBioVar/json (API)
NEWS

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

Bug tracker:https://github.com/jasonratcliff/aggregatebiovar/issues

Datasets:

On BioConductor:aggregateBioVar-1.23.0(bioc 3.24)aggregateBioVar-1.22.0(bioc 3.23)

softwaresinglecellrnaseqtranscriptomicstranscriptiongeneexpressiondifferentialexpression

5.18 score 5 stars 20 scripts 532 downloads 6 exports 28 dependencies

Last updated from:b5448dbe62. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE184
linux-devel-x86_64NOTE348
source / vignettesOK300
linux-release-x86_64NOTE343
macos-release-arm64NOTE188
macos-oldrel-arm64NOTE164
windows-develNOTE236
windows-releaseNOTE218
windows-oldrelNOTE191
wasm-releaseOK144

Exports:aggregateBioVarcountsByCellcountsBySubjectscSubjectssubjectMetaDatasummarizedCounts

Dependencies:abindBiobaseBiocGenericscliDelayedArraygenericsGenomicRangesglueIRangeslatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatspillarpkgconfigrlangS4ArraysS4VectorsSeqinfoSingleCellExperimentSparseArraySummarizedExperimenttibbleutf8vctrsXVector

Multi-subject scRNA-seq Analysis

Rendered frommulti-subject-scRNA-seq.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2020-09-03
Started: 2020-09-03