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DGEobj  

Differential Gene Expression (DGE) Analysis Results Data Object
View on CRAN: Click here


Download and install DGEobj package within the R console
Install from CRAN:
install.packages("DGEobj")

Install from Github:
library("remotes")
install_github("cran/DGEobj")

Install by package version:
library("remotes")
install_version("DGEobj", "1.1.2")



Attach the package and use:
library("DGEobj")
Maintained by
Connie Brett
[Scholar Profile | Author Map]
First Published: 2020-12-07
Latest Update: 2022-05-16
Description:
Provides a flexible container to manage and annotate Differential Gene Expression (DGE) analysis results (Smythe et. al (2015) ). The DGEobj has data slots for row (gene), col (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not keyed to row, col, or assays). A set of accessory functions to deposit, query and retrieve subsets of a data workflow has been provided. Attributes are used to capture metadata such as species and gene model, including reproducibility information such that a 3rd party can access a DGEobj history to see how each data object was created or modified. Since the DGEobj is customizable and extensible it is not limited to RNA-seq analysis types of workflows -- it can accommodate nearly any data analysis workflow that starts from a matrix of assays (rows) by samples (columns).
How to cite:
Connie Brett (2020). DGEobj: Differential Gene Expression (DGE) Analysis Results Data Object. R package version 1.1.2, https://cran.r-project.org/web/packages/DGEobj. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.1 (2020-12-07 10:30), 1.0.3 (2021-04-09 23:30), 1.1.0 (2022-03-25 19:10), 1.1.1 (2022-05-10 11:30)
Other packages that cited DGEobj R package
View DGEobj citation profile
Other R packages that DGEobj depends, imports, suggests or enhances
Complete documentation for DGEobj
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