Limma-trend is shown to compute approximate partially Bayes p-values, with new nonparametric maximum likelihood procedures that asymptotically control FDR under dense signals despite trend misspecification.
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stat.ME 2years
2026 2representative citing papers
PLANE jointly estimates latent gene positions from a target network and proxy embeddings on a larger gene set, with provably optimal channel weighting and demonstrated gains in network recovery and imputation.
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How does limma-trend work? An empirical partially Bayes perspective
Limma-trend is shown to compute approximate partially Bayes p-values, with new nonparametric maximum likelihood procedures that asymptotically control FDR under dense signals despite trend misspecification.
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AI-Augmented Statistical Network Estimation with Proxy Gene Embeddings
PLANE jointly estimates latent gene positions from a target network and proxy embeddings on a larger gene set, with provably optimal channel weighting and demonstrated gains in network recovery and imputation.