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modACDC
View on CRAN: Click
here
Download and install modACDC package within the R console
Install from CRAN:
install.packages("modACDC")
Install from Github:
library("remotes")
install_github("cran/modACDC")
Install by package version:
library("remotes")
install_version("modACDC", "2.0.1")
Attach the package and use:
library("modACDC")
Maintained by
Katelyn Queen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-10
Latest Update: 2024-01-30
Description:
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) .
How to cite:
Katelyn Queen (2023). modACDC: Association of Covariance for Detecting Differential Co-Expression. R package version 2.0.1, https://cran.r-project.org/web/packages/modACDC
Other packages that cited modACDC R package
View modACDC citation profile
Other R packages that modACDC depends,
imports, suggests or enhances
Functions, R codes and Examples using
the modACDC R package
Some associated functions: ACDC . ACDChighdim . ACDCmod . GCTA_par . GCTA_parPlot . GCTA_singleValue . OSCA_par . OSCA_parPlot . OSCA_singleValue . coVar .
Some associated R codes: ACDC.R . ACDChighdim.R . ACDCmod.R . GCTA_par.R . GCTA_parPlot.R . GCTA_singleValue.R . OSCA_par.R . OSCA_parPlot.R . OSCA_singleValue.R . coVar.R . Full modACDC package functions and examples
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