Selected article for: "GTEx dataset and single cell"

Author: Harlan Barker; Seppo Parkkila
Title: Bioinformatic characterization of angiotensin-converting enzyme 2, the entry receptor for SARS-CoV-2
  • Document date: 2020_4_13
  • ID: 08vsaov7_46
    Snippet: . CC-BY 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.13.038752 doi: bioRxiv preprint Figure 8 . Expression of ACE2 highly correlated other genes in single cell datasets of trachea and intestinal epithelia. Trachea expression data is taken from GSE103354 (37) and intestinal epithelia data is derived from GSE92332 (.....
    Document: . CC-BY 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.13.038752 doi: bioRxiv preprint Figure 8 . Expression of ACE2 highly correlated other genes in single cell datasets of trachea and intestinal epithelia. Trachea expression data is taken from GSE103354 (37) and intestinal epithelia data is derived from GSE92332 (61) . Visualized in ScanPy (40). Table 2 . Gene ontology annotation results for the processes associated with genes strongly coexpressed (≥0.5) with ACE2 across all tissues in GTEx dataset.

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