National Institutes of Health
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DR-GEM improves single-cell embeddings and rare cell detection
Researchers at Stanford University introduced DR‑GEM, a self‑supervised meta‑algorithm designed to address the tendency of existing single‑cell analysis methods to overlook rare cell types by equating abundance with…
1 source primary sourceNature Machine Learning -
Zhang et al. introduce B-BiLO framework for Bayesian PDE inference
A team of researchers presented a new Bilevel Local Operator Learning framework, called B-BiLO, to perform Bayesian inference for partial‑differential‑equation (PDE) inverse problems. The method samples posterior…
1 source primary sourceNature Machine Learning
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DR-GEM improves single-cell embeddings and rare cell detection (24 September 2026).