Differential Gene Expression (DGE) Analysis Results Data Object
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).