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omicwas
View on CRAN: Click
here
Download and install omicwas package within the R console
Install from CRAN:
install.packages("omicwas")
Install from Github:
library("remotes")
install_github("cran/omicwas")
Install by package version:
library("remotes")
install_version("omicwas", "0.8.0")
Attach the package and use:
library("omicwas")
Maintained by
Fumihiko Takeuchi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-19
Latest Update: 2020-10-08
Description:
In bulk epigenome/transcriptome experiments, molecular expression
is measured in a tissue, which is a mixture of multiple types of cells.
This package tests association of a disease/phenotype with a molecular marker
for each cell type.
The proportion of cell types in each sample needs to be given as input.
The package is applicable to epigenome-wide association study (EWAS) and
differential gene expression analysis.
Takeuchi and Kato (submitted)
"omicwas: cell-type-specific epigenome-wide and transcriptome association study".
How to cite:
Fumihiko Takeuchi (2020). omicwas: Cell-Type-Specific Association Testing in Bulk Omics Experiments. R package version 0.8.0, https://cran.r-project.org/web/packages/omicwas. Accessed 28 Jan. 2025.
Other packages that cited omicwas R package
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Other R packages that omicwas depends,
imports, suggests or enhances
Complete documentation for omicwas
Functions, R codes and Examples using
the omicwas R package
Some associated functions: GSE42861small . GSE79262small . GTExsmall . ctassoc . ctcisQTL . rrs.fit .
Some associated R codes: GSE42861small.R . GSE79262small.R . GTExsmall.R . ctcisQTL.R . lmridgeLW76.R . omicwas.R . rrs.R . supplement.estimators.R . Full omicwas package functions and examples
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