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Emek Demir

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Open access Sep 2026

Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework

Multimodal single-cell assays profile complementary layers of cell state, but integration is complicated by modality mismatch, sparsity, and uneven cohort coverage. Here, we present Unified Variational Inference (UniVI), a scalable mixture-of-experts β-variational autoencoder that learns a shared latent space while pre...

Andrew J. Ashford, Trevor Enright, Julia Somers et al. · 0 citations
Open access Aug 2026

Eleven quick tips for Biomedical Federated Learning

Ten tips for successfully and sustainably implementing Federated learning for Biomedical applications, ensuring both ethical data governance and improved model performance in sensitive domains are outlined.

Kyle Ellrott, V. Malladi, J. Bélisle-Pipon et al. · 0 citations

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