https://github.com/bartongroup/breast_cancer_over_70

Breast cancer data analysis

https://github.com/bartongroup/breast_cancer_over_70

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.5%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Breast cancer data analysis

Basic Info
  • Host: GitHub
  • Owner: bartongroup
  • Language: R
  • Default Branch: master
  • Size: 15 MB
Statistics
  • Stars: 1
  • Watchers: 6
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 6 years ago · Last pushed almost 4 years ago

https://github.com/bartongroup/Breast_cancer_over_70/blob/master/

# Breast cancer screening over 70

Software used in the manuscrpt "Opting into breast screening over the age of 70 years: seeking evidence to support informed choice", by Savaridas, SL; Gierlinski, M; Quinn, J; Warwick, VR; Evans, AE, [DOI:https://doi.org/10.1016/j.crad.2022.01.057](https://doi.org/10.1016/j.crad.2022.01.057)

## Instructions

Clone the repository to a local disk. Open an R session (we recommend RStudio), make sure you are in the main project directory. First, create a `renv` package environment:

```
install.packages("renv")
renv::restore()
```

This will install all necessady R packages. When this is done, you can run the pipeline to create all figures and data used in the manuscript.

```
targets::tar_make()
```

Finally, you can render the HTML document, reporting all steps of analysis.

```
rmarkdown::render("doc/analysis.Rmd")
```

Owner

  • Name: Geoff Barton's Computational Biology Group
  • Login: bartongroup
  • Kind: organization
  • Location: Dundee, Scotland, UK

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