• Corpus ID: 238582962

COVID-Datathon: Biomarker identification for COVID-19 severity based on BALF scRNA-seq data

@article{Niyakan2021COVIDDatathonBI,
  title={COVID-Datathon: Biomarker identification for COVID-19 severity based on BALF scRNA-seq data},
  author={Seyednami Niyakan and Xiaoning Qian},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.04986}
}
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence began in late 2019 and has since spread rapidly worldwide. The characteristics of respiratory immune response to this emerging virus is not clear. Recently, Single-cell RNA sequencing (scRNA-seq) transcriptome profiling of Bronchoalveolar lavage fluid (BALF) cells has been done to elucidate the potential mechanisms underlying in COVID-19. With the aim of better utilizing this atlas of BALF cells in response to the virus… 

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