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cff-version: 1.2.0
message: 'To cite package "ptairMS" in publications use:'
type: software
license: GPL-3.0-only
title: 'ptairMS: Pre-processing PTR-TOF-MS Data'
version: 1.13.0
abstract: This package implements a suite of methods to preprocess data from PTR-TOF-MS
  instruments (HDF5 format) and generates the 'sample by features' table of peak intensities
  in addition to the sample and feature metadata (as a singl<e ExpressionSet object
  for subsequent statistical analysis). This package also permit usefull tools for
  cohorts management as analyzing data progressively, visualization tools and quality
  control. The steps include calibration, expiration detection, peak detection and
  quantification, feature alignment, missing value imputation and feature annotation.
  Applications to exhaled air and cell culture in headspace are described in the vignettes
  and examples. This package was used for data analysis of Gassin Delyle study on
  adults undergoing invasive mechanical ventilation in the intensive care unit due
  to severe COVID-19 or non-COVID-19 acute respiratory distress syndrome (ARDS), and
  permit to identfy four potentiel biomarquers of the infection.
authors:
- family-names: Roquencourt
  given-names: camille
  email: camille.roquencourt@hotmail.fr
repository: https://bioc.r-universe.dev
repository-code: https://github.com/camilleroquencourt/ptairMS
url: https://github.com/camilleroquencourt/ptairMS
date-released: '2020-03-18'
contact:
- family-names: Roquencourt
  given-names: camille
  email: camille.roquencourt@hotmail.fr