https://github.com/tonandr/cmap_moa

Mechanisms of Action (MoA) Prediction for CMAP
https://github.com/tonandr/cmap_moa

additive-angular-margin-loss autoencoder connectivity-map deep-learning drug-discovery drug-features-clustering kaggle mechanisms-of-action

Last synced: about 2 months ago
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Mechanisms of Action (MoA) Prediction for CMAP

• Host: GitHub
• URL: https://github.com/tonandr/cmap_moa
• Owner: tonandr
• License: gpl-3.0
• Created: 2021-07-25T14:58:49.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-30T17:16:25.000Z (almost 2 years ago)
• Last Synced: 2025-01-29T14:21:40.452Z (4 months ago)
• Topics: additive-angular-margin-loss, autoencoder, connectivity-map, deep-learning, drug-discovery, drug-features-clustering, kaggle, mechanisms-of-action
• Language: Jupyter Notebook
• Homepage:
• Size: 83.2 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Mechanisms of Action (MoA) Prediction for CMAP

## Additive angular margin and autoencoder based MoA prediction models.

![Imgur](pics/drug_features_clustering_moa_colors.png)

These models was developed in the MoA Prediction contest hosted by Kaggle.

Via moa-camp.ipynb, drugs' clustering map for MoA can be checked in the case the additive margin loss was used.

[Kaggle's MoA Prediction Contest](https://www.kaggle.com/c/lish-moa)

[Kaggle's notebook: Drug features clustering according to mechanisms of action](https://www.kaggle.com/gutomitai/drug-features-clustering-according-to-moa)

## Status

This project is closed.