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
| Maintainer | Nalin Arora <naa4050@med.cornell.edu> |
| Author | Ziyu Liu [aut], Nalin Arora [aut, cre] (ORCID: <https://orcid.org/0009-0009-1340-688X>), Chuxuan Gao [aut], Himel Mallick [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/himelmallick/DAssemble |
| Bug Reports | https://github.com/himelmallick/DAssemble/issues |
| Downloads rank | 45 |
| Source branch | devel |
| biocViews | DifferentialExpression, Microbiome, Normalization, RNASeq, Regression, SingleCell, Software, StatisticalMethod |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DAssemble_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