Last updated: 2018-08-30

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  • Repository version: a5d1757

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Expand here to see past versions:
    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.


Software development


Simulation study


Data analysis

Likelihood ratio assessments

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.

Application of new methods

Below are applications of the new methods to real datasets.


This reproducible R Markdown analysis was created with workflowr 1.1.1