Last updated: 2018-08-30
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✔ Repository version: a5d1757
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Modified: analysis/load2013_liver.Rmd
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File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | a5d1757 | Xiang Zhu | 2018-08-30 | wflow_publish(“analysis/index.Rmd”) |
html | 6142cc2 | Xiang Zhu | 2018-07-24 | Build site. |
Rmd | d17ed5f | Xiang Zhu | 2018-07-24 | wflow_publish(“analysis/index.Rmd”) |
html | b978776 | Xiang Zhu | 2018-07-24 | Build site. |
Rmd | 1017c63 | Xiang Zhu | 2018-07-24 | wflow_publish(“analysis/index.Rmd”) |
html | 9aaa70f | Xiang Zhu | 2018-07-19 | Build site. |
Rmd | 2cd97ad | Xiang Zhu | 2018-07-19 | wflow_publish(“analysis/index.Rmd”) |
html | 889612b | Xiang Zhu | 2018-07-19 | Build site. |
html | fcdb217 | Xiang Zhu | 2018-07-19 | Build site. |
Rmd | 041a3ef | Xiang Zhu | 2018-07-19 | wflow_publish(files = c(“analysis/index.Rmd”, “analysis/license.Rmd”)) |
Rmd | c07849b | Xiang Zhu | 2018-07-19 | Start workflowr project. |
If you have any question about this project, please feel free to contact me: Xiang Zhu, xiangzhu@stanford.edu
.
Below are some quick assessments of PECA networks I received from Duren, using a simple likelihood ratio calculation introduced in Zhu and Stephens (2017). The aim of these quick assessments is to confirms whether these networks are informative in identifying disease-related tissues or cell types.
Below are applications of the new methods to real datasets.
This reproducible R Markdown analysis was created with workflowr 1.1.1