Selected article for: "cell type and gene expression"

Author: David Brann; Tatsuya Tsukahara; Caleb Weinreb; Darren W. Logan; Sandeep Robert Datta
Title: Non-neural expression of SARS-CoV-2 entry genes in the olfactory epithelium suggests mechanisms underlying anosmia in COVID-19 patients
  • Document date: 2020_3_27
  • ID: bb4h255w_54
    Snippet: To establish a cell type mapping: 1) Durante (44) and Deprez (37) data were combined and gene expression values were linearly scaled so that all cells across datasets had the same total counts. PCA was then performed using highly variable genes (n=1477 genes) and PCAbatch-correction (68) with the Durante data as a reference set. 2) Mapping was then performed bidirectionally between the two datasets. Each cell from "Dataset 1" 'voted' for the 5 mo.....
    Document: To establish a cell type mapping: 1) Durante (44) and Deprez (37) data were combined and gene expression values were linearly scaled so that all cells across datasets had the same total counts. PCA was then performed using highly variable genes (n=1477 genes) and PCAbatch-correction (68) with the Durante data as a reference set. 2) Mapping was then performed bidirectionally between the two datasets. Each cell from "Dataset 1" 'voted' for the 5 most similar cells in the "Dataset 2", using distance in PCA space as the measure of similarity. A table T counting votes across cell types was then computed, where for cell type i in the Dataset 1 and cell type j in the Dataset 2,

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