https://github.com/astrazeneca/metabolic_classifier
Science Score: 13.0%
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○CITATION.cff file
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Found codemeta.json file -
○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (2.5%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: AstraZeneca
- Language: Jupyter Notebook
- Default Branch: master
- Size: 1.86 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 3
- Releases: 0
Created about 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
README.md
Metabolic classifier
This repository contains a jupyter notebook containing the calculations described in the paper Metabolic imaging across scales reveals distinct prostate cancer phenotypes.
In the notebook we analyse mass spectrometry imaging (MSI) data from a set of prostate cancer (PCa) samples.
We train a small neural network to classify samples as either bengign or malignant. We use Shapley additive explanations to investigate the contributions of each metabolite to a sample's classification as either malignant or bengign.
Owner
- Name: AstraZeneca
- Login: AstraZeneca
- Kind: organization
- Location: Global
- Website: https://www.astrazeneca.com/
- Repositories: 33
- Profile: https://github.com/AstraZeneca
Data and AI: Unlocking new science insights
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Dependencies
requirements.txt
pypi
- jupyter ==1.0.0
- matplotlib ==3.6.1
- numpy ==1.21.5
- pandas ==1.5.2
- python ==3.9.10
- scikit-learn ==1.1.2
- scipy ==1.9.2
- shap ==0.39.0
- tensorflow ==2.4.1