Characterization of intraindividual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called highdimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.
Package details 


Author  Anestis Touloumis [cre, aut], John C. Marioni [aut], Simon Tavar\'{e} [aut] 
Bioconductor views  DifferentialExpression GeneExpression Genetics Microarray Sequencing Software StatisticalMethod 
Maintainer  Anestis Touloumis <[email protected]> 
License  GPL3 
Version  1.14.0 
URL  http://github.com/AnestisTouloumis/HDTD 
Package repository  View on Bioconductor 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.