https://github.com/haranrk/cancer-data-analysis-jfcr39

Cancer data analysis on the JFCR39 dataset
https://github.com/haranrk/cancer-data-analysis-jfcr39

bioinformatics cancer-genome-atlas cancer-genomics nmf non-negative-matrix-factorization python python3

Last synced: 23 days ago
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Cancer data analysis on the JFCR39 dataset

• Host: GitHub
• URL: https://github.com/haranrk/cancer-data-analysis-jfcr39
• Owner: haranrk
• License: mit
• Created: 2018-05-25T06:10:23.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-04T14:35:08.000Z (over 6 years ago)
• Last Synced: 2024-10-30T00:52:28.329Z (2 months ago)
• Topics: bioinformatics, cancer-genome-atlas, cancer-genomics, nmf, non-negative-matrix-factorization, python, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 16.3 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Integrated Genome Drug Cancer analysis

Used the [JFCR39](https://www.ncbi.nlm.nih.gov/pubmed/22336246) dataset to find cancer biomarkers and tumour dependencies. Leveraged the jNMF(joint non-negative matrix factorization) algorithm to conduct the analysis. 

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_Done as a part of summer research internship at the [FAiS lab](http://fais.hgc.jp/), University of Tokyo, 2018._