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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "marr" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'marr: Maximum rank reproducibility'
version: 1.15.0
doi: 10.32614/CRAN.package.marr
abstract: marr (Maximum Rank Reproducibility) is a nonparametric approach that detects
  reproducible signals using a maximal rank statistic for high-dimensional biological
  data. In this R package, we implement functions that measures the reproducibility
  of features per sample pair and sample pairs per feature in high-dimensional biological
  replicate experiments. The user-friendly plot functions in this package also plot
  histograms of the reproducibility of features per sample pair and sample pairs per
  feature. Furthermore, our approach also allows the users to select optimal filtering
  threshold values for the identification of reproducible features and sample pairs
  based on output visualization checks (histograms). This package also provides the
  subset of data filtered by reproducible features and/or sample pairs.
authors:
- family-names: Ghosh
  given-names: Tusharkanti
  email: tusharkantighosh30@gmail.com
- family-names: McGrath
  given-names: Max
- family-names: Philtron
  given-names: Daisy
- family-names: Kechris
  given-names: Katerina
- family-names: Ghosh
  given-names: Debashis
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Ghoshlab/marr
commit: 50c45eb59a3988e6afb0e1e6286370881e49fe90
url: https://github.com/Ghoshlab/marr
date-released: '2021-05-10'
contact:
- family-names: Ghosh
  given-names: Tusharkanti
  email: tusharkantighosh30@gmail.com