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HDTD

Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)


Bioconductor version: Release (3.18)

Characterization of intra-individual 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 high-dimensional 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.

Author: Anestis Touloumis [cre, aut] , John C. Marioni [aut] , Simon Tavar\'{e} [aut]

Maintainer: Anestis Touloumis <A.Touloumis at brighton.ac.uk>

Citation (from within R, enter citation("HDTD")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("HDTD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HDTD")
HDTD to Analyze High-Dimensional Transposable Data HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneExpression, Genetics, Microarray, Sequencing, Software, StatisticalMethod
Version 1.36.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-3
Depends R (>= 4.1)
Imports stats, Rcpp (>= 1.0.1)
System Requirements
URL http://github.com/AnestisTouloumis/HDTD
Bug Reports http://github.com/AnestisTouloumis/HDTD/issues
See More
Suggests knitr, rmarkdown
Linking To Rcpp, RcppArmadillo
Enhances
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HDTD_1.36.0.tar.gz
Windows Binary HDTD_1.36.0.zip (64-bit only)
macOS Binary (x86_64) HDTD_1.36.0.tgz
macOS Binary (arm64) HDTD_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/HDTD
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HDTD
Bioc Package Browser https://code.bioconductor.org/browse/HDTD/
Package Short Url https://bioconductor.org/packages/HDTD/
Package Downloads Report Download Stats