Other packages > Find by keyword >

omicwas  

Cell-Type-Specific Association Testing in Bulk Omics Experiments
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]
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 22 Dec. 2024.
Previous versions and publish date:
0.3.1 (2020-02-19 10:42), 0.7.0 (2020-06-02 11:40)
Other packages that cited omicwas R package
View omicwas citation profile
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA