The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

modACDC: Association of Covariance for Detecting Differential Co-Expression

A series of functions to implement association of covariance for detecting differential co-expression (ACDC), a novel approach for detection of differential co-expression that simultaneously accommodates multiple phenotypes or exposures with binary, ordinal, or continuous data types. Users can use the default method which identifies modules by Partition or may supply their own modules. Also included are functions to choose an information loss criterion (ILC) for Partition using OmicS-data-based Complex trait Analysis (OSCA) and Genome-wide Complex trait Analysis (GCTA). The manuscript describing these methods is as follows: Queen K, Nguyen MN, Gilliland F, Chun S, Raby BA, Millstein J. "ACDC: a general approach for detecting phenotype or exposure associated co-expression" (2023) <doi:10.3389/fmed.2023.1118824>.

Version: 2.0.1
Depends: R (≥ 4.1.0)
Imports: CCP, data.table, doParallel, foreach, genieclust, genio, ggplot2, partition, parallel, tibble, tidyr, tools, utils
Suggests: CCA
Published: 2024-01-30
DOI: 10.32614/CRAN.package.modACDC
Author: Katelyn Queen ORCID iD [aut, cre, cph], Joshua Millstein ORCID iD [aut, cph]
Maintainer: Katelyn Queen <kjqueen at usc.edu>
License: MIT + file LICENSE
URL: https://github.com/USCbiostats/ACDC
NeedsCompilation: no
Materials: README NEWS
CRAN checks: modACDC results

Documentation:

Reference manual: modACDC.pdf

Downloads:

Package source: modACDC_2.0.1.tar.gz
Windows binaries: r-devel: modACDC_2.0.1.zip, r-release: modACDC_2.0.1.zip, r-oldrel: modACDC_2.0.1.zip
macOS binaries: r-release (arm64): modACDC_2.0.1.tgz, r-oldrel (arm64): modACDC_2.0.1.tgz, r-release (x86_64): modACDC_2.0.1.tgz, r-oldrel (x86_64): modACDC_2.0.1.tgz
Old sources: modACDC archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modACDC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.