Last updated: 2024-09-16
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Knit directory: rss-gsea/
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File | Version | Author | Date | Message |
---|---|---|---|---|
html | 7223781 | Xiang Zhu | 2019-02-18 | Build site. |
html | 73f3c80 | Xiang Zhu | 2018-10-05 | Build site. |
html | 1c85967 | Xiang Zhu | 2018-10-05 | Build site. |
html | 5f75cb8 | Xiang Zhu | 2018-07-02 | Build site. |
Rmd | 1ac8c28 | Xiang Zhu | 2018-07-02 | wflow_publish("pcv_2012.Rmd") |
Results below were generated from the GWAS summary statistics published in the paper “Seventy-Five Genetic Loci Influencing the Human Red Blood Cell” (Nature, 2012). The summary data file is available from the European Genome–Phenome Archive (EGA, http://www.ebi.ac.uk/ega) under accession number EGAS00000000132.
Enrichment analyses are summarized by the following three quantities.
The first quantity reflects the significance of enrichment, whereas the last two capture the magnitude of enrichment. For each gene set, we report these three quantities in the last three columns of tables below, on log 10 scale.
The relationship between tissues and clusters is shown in Figure 1 of Dey et al. (2017); see below.
─ Session info ───────────────────────────────────────────────────────────────
setting value
version R version 4.4.1 (2024-06-14)
os macOS Sonoma 14.6.1
system aarch64, darwin20
ui X11
language (EN)
collate en_US.UTF-8
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tz America/Los_Angeles
date 2024-09-16
pandoc 3.1.11 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/aarch64/ (via rmarkdown)
─ Packages ───────────────────────────────────────────────────────────────────
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