Last updated: 2019-09-13

Checks: 2 0

Knit directory: peco-paper/

This reproducible R Markdown analysis was created with workflowr (version 1.4.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/

Untracked files:
    Untracked:  code/fig2.R
    Untracked:  code/fig3.R
    Untracked:  code/fig4.R
    Untracked:  code/leng_data/
    Untracked:  code/our_data/
    Untracked:  code/suppfig02.R
    Untracked:  code/suppfig03.R
    Untracked:  code/suppfig04.R
    Untracked:  code/suppfig05.R
    Untracked:  code/suppfig06.R
    Untracked:  code/suppfig07.R
    Untracked:  code/suppfig08.R
    Untracked:  code/suppfig09.R
    Untracked:  code/suppfig10.R
    Untracked:  code/suppfig15.R
    Untracked:  code/suppfig17.R
    Untracked:  data/peco_ordered_cyclic_genes.txt

Unstaged changes:
    Deleted:    code/README.md

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view them.

File Version Author Date Message
Rmd 60e3281 jhsiao999 2019-09-13 wflow_publish(c(“analysis/index.Rmd”, “analysis/access_data.Rmd”, “analysis/license.Rmd”,
html 60a309f jhsiao999 2019-09-06 Build site.
Rmd 37ffff6 jhsiao999 2019-09-06 update table of content
html ba2d647 Joyce Hsiao 2019-08-14 Build site.
Rmd 63517ff Joyce Hsiao 2019-08-14 Start workflowr project.

\(~\)

Introduction

Cell cycle phase and cell types - among many reasons - are argubly the most candidates driving differences in gene expression among cells.

peco is a supervised approach for predicting continuous cell cycle phase in single-cell RNA-seq (scRNA-seq) data analysis.

We developed peco in a study that combined fluorescence imaging with scRNA-seq to measure cell cycle phase and gene expression levels in human induced pluripotent stem cells (iPSCs).

Download peco

Access our data

Reproduce analysis

Find out how we