https://github.com/stef1949/harmonizenn
Adversarial autoencoder for bulk RNA‑seq batch effect correction that removes batch signal while preserving biological variation, outputting a corrected logCPM matrix and latent embeddings with optional supervised label preservation.
https://github.com/stef1949/harmonizenn
autoencoder batch-correction neural-network python r rna-seq
Last synced: 9 months ago
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Adversarial autoencoder for bulk RNA‑seq batch effect correction that removes batch signal while preserving biological variation, outputting a corrected logCPM matrix and latent embeddings with optional supervised label preservation.
- Host: GitHub
- URL: https://github.com/stef1949/harmonizenn
- Owner: stef1949
- License: mit
- Created: 2025-08-29T21:24:20.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-08-29T21:37:35.000Z (9 months ago)
- Last Synced: 2025-08-29T23:28:32.713Z (9 months ago)
- Topics: autoencoder, batch-correction, neural-network, python, r, rna-seq
- Language: Python
- Homepage:
- Size: 103 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0