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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Molecular markers of preterm labor in the choriodecidua.
PMID 20009011 · PMC2852874 · Reproductive sciences (Thousand Oaks, Calif.) · 2010 · 8 claims · 4 setups
Preterm choriodecidua displays distinct gene and protein expression patterns associated with preterm labor
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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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Visualizing stability: a sensitivity analysis framework for t-SNE embeddings.
PMID 41552665 · PMC12808344 · Frontiers in bioinformatics · 2025 · 8 claims · 5 setups
The Implicit Function Theorem, combined with automatic differentiation, can be used to efficiently compute the complete sensitivity Jacobian of a converged t-SNE embedding with respect to the input data, avoiding differentiation through the full iterative optimizer.
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Multimodal learning reveals plants' hidden sensory integration logic.
PMID 41714925 · PMC13032346 · BMC genomics · 2026 · 8 claims · 8 setups
CoMM-BIP (Contrastive Multi-Modal learning with Biologically Informed Priors) integrates transcriptomic, metabolomic, and phenomic data using pathway-guided attention, information-theoretic disentanglement, and domain-aware augmentations
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SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.
PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties
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Bridging cancer cell-intrinsic driver genes and -extrinsic cell-cell communication with Driver2Comm.
PMID 41701761 · PMC12928580 · PLoS computational biology · 2026 · 8 claims · 5 setups
Driver2Comm is a computational framework that identifies intrinsic-extrinsic (IE) pathways functionally connecting cancer cell driver genes with their associated CCC signatures in the TME using single-cell transcriptomics data.
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Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.
PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups
A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.
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Benchmarking LLM-based agents for single-cell omics analysis.
PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups
Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks