# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "HDTD" in publications use:'
type: software
license: GPL-3.0-only
title: 'HDTD: Statistical Inference about the Mean Matrix and the Covariance Matrices
  in High-Dimensional Transposable Data (HDTD)'
version: 1.39.0
abstract: 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.
authors:
- family-names: Touloumis
  given-names: Anestis
  email: A.Touloumis@brighton.ac.uk
  orcid: https://orcid.org/0000-0002-5965-1639
- family-names: Marioni
  given-names: John C.
  orcid: https://orcid.org/0000-0001-9092-0852
- family-names: Tavar\'e
  given-names: Simon
  orcid: https://orcid.org/0000-0002-3716-4952
preferred-citation:
  type: article
  title: Testing the Mean Matrix in High-Dimensional Transposable Data
  authors:
  - family-names: Touloumis
    given-names: Anestis
    email: A.Touloumis@brighton.ac.uk
    orcid: https://orcid.org/0000-0002-5965-1639
  - family-names: Tavar\'e
    given-names: Simon
    orcid: https://orcid.org/0000-0002-3716-4952
  - family-names: Marioni
    given-names: John C.
    orcid: https://orcid.org/0000-0001-9092-0852
  journal: Biometrics
  year: '2015'
  volume: '71'
  issue: '1'
  url: http://onlinelibrary.wiley.com/doi/10.1111/biom.12257/full
  start: '157'
  end: '166'
repository: https://bioc.r-universe.dev
repository-code: http://github.com/AnestisTouloumis/HDTD
url: http://github.com/AnestisTouloumis/HDTD
contact:
- family-names: Touloumis
  given-names: Anestis
  email: A.Touloumis@brighton.ac.uk
  orcid: https://orcid.org/0000-0002-5965-1639
references:
- type: article
  title: Hypothesis Testing for the Covariance Matrix in High-Dimensional Transposable
    Data with Kronecker Product Dependence Structure
  authors:
  - family-names: Touloumis
    given-names: Anestis
  - family-names: Marioni
    given-names: John C.
  - family-names: Tavar\'e
    given-names: Simon
  journal: Statistica Sinica
  year: '2021'
  volume: '31'
  issue: '3'
  url: http://www3.stat.sinica.edu.tw/statistica/J31N3/J31N309/J31N309.html
  start: '1309'
  end: '1329'
- type: article
  title: 'HDTD: Analyzing multi-tissue gene expression data'
  authors:
  - family-names: Touloumis
    given-names: Anestis
  - family-names: Marioni
    given-names: John C.
  - family-names: Tavar\'e
    given-names: Simon
  journal: Bioinformatics
  year: '2016'
  volume: '32'
  issue: '14'
  url: https://doi.org/10.1093/bioinformatics/btw224
  start: '2193'
  end: '2195'