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DAssemble

Ensemble Models for Differential Analysis

Bioconductor version: 3.24 · Package version: 0.99.4

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DAssemble")

Details

MaintainerNalin Arora <naa4050@med.cornell.edu>
AuthorZiyu Liu [aut], Nalin Arora [aut, cre] (ORCID: <https://orcid.org/0009-0009-1340-688X>), Chuxuan Gao [aut], Himel Mallick [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/himelmallick/DAssemble
Bug Reportshttps://github.com/himelmallick/DAssemble/issues
Downloads rank45
Source branchdevel
biocViewsDifferentialExpression, Microbiome, Normalization, RNASeq, Regression, SingleCell, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageDAssemble_0.99.4.tar.gz
Windows binary (x86_64)DAssemble_0.99.4.zip
macOS binary (arm64)DAssemble_0.99.4.tgz
macOS binary (x86_64)DAssemble_0.99.4.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: stats, utils, dplyr, MultiAssayExperiment, SummarizedExperiment

Suggests: DESeq2, edgeR, limma, dearseq, metagenomeSeq, MAST, cplm, brglm2, dfadjust, glmmTMB, logging, MASS, pbapply, preprocessCore, Maaslin2, maaslin3, LOCOM2, MicrobiomeStat, ANCOMBC, ALDEx2, airway, scran, SingleCellExperiment, knitr, rmarkdown, BiocStyle, phyloseq, S4Vectors, testthat (>= 3.0.0), boot