Package: DAssemble 0.99.0

Nalin Arora
DAssemble: Ensemble Models for Differential Analysis
The DAssemble package implements an ensemble framework for differential-abundance and differential-expression analysis across bulk RNA-seq, single-cell RNA-seq, and microbiome studies. It wraps a collection of popular DA/DE methods as core methods and combines them via Cauchy Combination Tests (CCT), optionally augmented by simple enhancers such as Wilcoxon, Kolmogorov–Smirnov, and presence–absence logistic regression.
Authors:
DAssemble_0.99.0.tar.gz
DAssemble_0.99.0.zip(r-4.7)DAssemble_0.99.0.zip(r-4.6)DAssemble_0.99.0.zip(r-4.5)
DAssemble_0.99.0.tgz(r-4.6-any)DAssemble_0.99.0.tgz(r-4.5-any)
DAssemble_0.99.0.tar.gz(r-4.7-any)DAssemble_0.99.0.tar.gz(r-4.6-any)
DAssemble_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DAssemble/json (API)
NEWS
| # Install 'DAssemble' in R: |
| install.packages('DAssemble', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/himelmallick/dassemble/issues
softwarestatisticalmethoddifferentialexpressionrnaseqsinglecellmicrobiomenormalizationregression
Last updated from:dcf0c31c01. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 285 | ||
| linux-devel-x86_64 | OK | 323 | ||
| source / vignettes | OK | 1065 | ||
| linux-release-x86_64 | OK | 316 | ||
| macos-release-arm64 | OK | 143 | ||
| macos-oldrel-arm64 | OK | 170 | ||
| windows-devel | OK | 162 | ||
| windows-release | OK | 252 | ||
| windows-oldrel | OK | 186 | ||
| wasm-release | OK | 255 |
Exports:DAssemble
Dependencies:abindBiobaseBiocBaseUtilsBiocGenericsclicpp11DelayedArraydplyrgenericsGenomicRangesglueIRangeslatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsMultiAssayExperimentpillarpkgconfigpurrrR6rlangS4ArraysS4VectorsSeqinfoSparseArraystringistringrSummarizedExperimenttibbletidyrtidyselectutf8vctrswithrXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Differential analysis using DAssemble | DAssemble |