https://github.com/astrazeneca/ckd_molecular_stratification

https://github.com/astrazeneca/ckd_molecular_stratification

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/astrazeneca/ckd_molecular_stratification
• Owner: AstraZeneca
• License: apache-2.0
• Created: 2023-12-11T12:20:39.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-02-01T15:34:21.000Z (over 2 years ago)
• Last Synced: 2025-12-28T16:23:48.780Z (6 months ago)
• Language: R
• Size: 3.24 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Authors: AUTHORS.md

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README

          
![Maturity level-0](https://img.shields.io/badge/Maturity%20Level-ML--0-red)

# CKD Molecular Stratification

This repository contains primary data analysis code accompanying the manuscript:

Anna Reznichenko, Viji Nair, Sean Eddy, Damian Fermin, Mark Tomilo, Timothy Slidel, Wenjun Ju, Ian Henry, Shawn S. Badal, Johnna D. Wesley, John T. Liles, Sven Moosmang, Julie M. Williams, Carol Moreno Quinn, Markus Bitzer, Jeffrey B. Hodgin, Laura Barisoni, Anil Karihaloo, Matthew D. Breyer, Kevin L. Duffin, Uptal D. Patel, Maria Chiara Magnone, Ratan Bhat, Matthias Kretzler. Unbiased kidney-centric molecular categorization of chronic kidney disease towards precision medicine. Kidney International (2024) https://doi.org/10.1016/j.kint.2024.01.012 (https://www.sciencedirect.com/science/article/pii/S0085253824000681)

The earlier pre-print version of this work can be found here:

[Anna Reznichenko, Viji Nair,  View ORCID ProfileSean Eddy, Mark Tomilo, Timothy Slidel, Wenjun Ju, James P. Conway, Shawn S. Badal, Johnna Wesley, John T. Liles, Sven Moosmang, Julie M. Williams, Carol Moreno Quinn, Markus Bitzer, Anil Karihaloo, Matthew D. Breyer, Kevin L. Duffin, Uptal D. Patel, Maria Chiara Magnone, Ratan Bhat, Matthias Kretzler. Molecular Stratification of Chronic Kidney Disease. medRxiv (2021). doi: https://doi.org/10.1101/2021.09.09.21263234](https://www.medrxiv.org/content/10.1101/2021.09.09.21263234v1.full-text)

## Software requirements:

R >4.3.0 with libraries: 

- factoextra 1.0.7

- NbClust 3.0.1

- kohonen 3.0.11

- ggplot2 3.4.2