Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Learning collective multicellular dynamics with an interacting mean field neural SDE model.
PMID 41564117 · PMC12854464 · PLoS computational biology · 2026 · 7 claims · 5 setups
scIMF models multicellular dynamics as interacting diffusion processes using a McKean-Vlasov SDE solved via Neural SDE, with a Transformer-based cell-wise attention mechanism approximating the distribution-dependent drift term
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Exploring phenotype-related single-cells through attention-enhanced representation learning.
PMID 41566378 · PMC12906058 · Genome medicine · 2026 · 6 claims · 5 setups
scPhase, an attention-based multiple instance learning (AMIL) framework with Mixture-of-Experts aggregation, predicts sample-level clinical phenotypes from raw scRNA-seq data and generalizes across patient cohorts
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Spatiotemporal dynamics of spermatogenesis: insights from high-resolution spatial transcriptomics and pseudotime trajectories in mouse testes.
PMID 41602862 · PMC12832764 · Frontiers in reproductive health · 2025 · 8 claims · 7 setups
Salus-STS (1 μm resolution) combined with the Salus Cellbins Algorithm enables accurate subcellular segmentation of individual testicular cells in dense tissue
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bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.
PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups
bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data