recklesswater / omics-ae-classifierView on GitHub
Latent-space representation learning for high-dimensional, low-sample-size omics. Pre-train an autoencoder on a discovery cohort, freeze the encoder, adapt the head. Binary/multiclass/multilabel heads. Cross-cohort transfer today; cross-modal latent alignment is the roadmap.
☆12Sep 11, 2026Updated last month

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