Selected article for: "data set and model set"

Author: Selinger, Christian; Tisoncik-Go, Jennifer; Menachery, Vineet D; Agnihothram, Sudhakar; Law, G Lynn; Chang, Jean; Kelly, Sara M; Sova, Pavel; Baric, Ralph S; Katze, Michael G
Title: Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates
  • Document date: 2014_12_22
  • ID: 0y3m47lh_28
    Snippet: Differential expression was determined by comparing MERS-CoV SA 1-and MERS-CoV Eng 1-infected replicates to time-and data set-matched mock-infected controls, based on a linear model fit for each probe using the R package Limma [43] . The same method was applied to determine differential expression between strains using time-matched MERS-CoV SA 1-and MERS-CoV Eng 1-infected samples. Criteria for differential expression were an absolute log2 fold c.....
    Document: Differential expression was determined by comparing MERS-CoV SA 1-and MERS-CoV Eng 1-infected replicates to time-and data set-matched mock-infected controls, based on a linear model fit for each probe using the R package Limma [43] . The same method was applied to determine differential expression between strains using time-matched MERS-CoV SA 1-and MERS-CoV Eng 1-infected samples. Criteria for differential expression were an absolute log2 fold change of 1 and a q value of <0.05 calculated using a moderated t test with Benjamini-Hochberg correction. The cytokine Calu-3 treatment data sets were analyzed separately using the same methods and cut-offs as the virus-infected Calu-3 cells. Differentially expressed genes were determined to be statistically significant in at least on time point and for at least one treatment.

    Search related documents:
    Co phrase search for related documents
    • MERS cov and treatment data: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26
    • MERS cov and virus infect: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • probe fit linear model and time point: 1
    • separately analyze and time point: 1
    • time point and treatment data: 1, 2, 3, 4, 5, 6, 7
    • time point and virus infect: 1
    • treatment data and virus infect: 1