Selected article for: "cell type mapping 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_60
    Snippet: To establish a common scale of gene expression between datasets, we restricted to cell type correspondences that were supported both by bioinformatic mapping and shared a nominal cell type designation based on marker genes. These The parameter p was fit by maximizing the correlation of average gene expression across all genes between each of the cell type correspondences listed above. The rescaling factors were then fitted separately for each gen.....
    Document: To establish a common scale of gene expression between datasets, we restricted to cell type correspondences that were supported both by bioinformatic mapping and shared a nominal cell type designation based on marker genes. These The parameter p was fit by maximizing the correlation of average gene expression across all genes between each of the cell type correspondences listed above. The rescaling factors were then fitted separately for each gene by taking the quotient of average gene expression between the Deprez data and the log-transformed Durante data, again across the cell type correspondences above.

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