covid-airway-deconvolution/CITATION.cff at main · Ekin-Kahraman/covid-airway-deconvolution · GitHub

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cff-version: 1.2.0
message: "If you use this repository, please cite it and the underlying public datasets."
title: "COVID-19 Airway Cell-Type Deconvolution"
type: software
license: MIT
repository-code: "https://github.com/Ekin-Kahraman/covid-airway-deconvolution"
url: "https://github.com/Ekin-Kahraman/covid-airway-deconvolution"
abstract: "A PyTorch deconvolution workflow estimating airway cell-type composition in COVID-19 nasopharyngeal bulk RNA-seq using a tissue-matched single-cell reference and pseudo-bulk validation."
keywords:
  - bioinformatics
  - deconvolution
  - RNA-seq
  - single-cell RNA-seq
  - COVID-19
  - PyTorch
authors:
  - family-names: "Kahraman"
    given-names: "Ekin"
    affiliation: "University of East Anglia"
    email: "evk23umu@uea.ac.uk"
references:
  - type: article
    title: "In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age"
    doi: "10.1371/journal.pbio.3000849"
  - type: article
    title: "Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19"
    doi: "10.1016/j.cell.2021.07.023"