Selected article for: "gene expression and linear regression"
Author: Chin-Yi Chu; Xing Qiu; Matthew N. McCall; Lu Wang; Anthony Corbett; Jeanne Holden-Wiltse; Christopher Slaunwhite; Qian Wang; Christopher Anderson; Alex Grier; Steven R. Gill; Gloria S. Pryhuber; Ann R. Falsey; David J. Topham; Mary T. Caserta; Edward E. Walsh; Thomas J Mariani
Title: Insufficiency in airway interferon activation defines clinical severity to infant RSV infection
  • Document date: 2019_5_20
    • ID: bx49tbui_39
    Snippet: We limited analyses to those 83 subjects for which both transcriptome and microbiome samples were available, and who were not on antibiotics. Data were available for a total of 471 operational taxonomic units (OTUs). After filtering those detected in <3% of subjects, and those for which neither genus or species was discernable, 148 OTUs were used for analysis. A linear regression of GRSS as outcome was conducted to estimate the association betwee.....
    Document: We limited analyses to those 83 subjects for which both transcriptome and microbiome samples were available, and who were not on antibiotics. Data were available for a total of 471 operational taxonomic units (OTUs). After filtering those detected in <3% of subjects, and those for which neither genus or species was discernable, 148 OTUs were used for analysis. A linear regression of GRSS as outcome was conducted to estimate the association between GRSS and each OTU, while controlling for visit age. The results showed two highly correlated OTUs, both for Haemophilus taxa (species Influenzae and species unknown). Further analyses combined these OTU as H. Influenzae. Similar regressions were performed for additional clinical variables. Next, we tested for a univariate association between GRSS and gene expression while adjusting for visit age.

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