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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Integrating single-cell and bulk transcriptomes identifies B cell features associated with neoadjuvant chemoradiotherapy sensitivity in rectal cancer.
PMID 41484196 · PMC12800305 · Scientific reports · 2026 · 8 claims · 8 setups
A B cell subpopulation co-expressing HLA-DRB5, HLA-DQA2, HLA-DQB1, CD74, and ACTG1 is significantly associated with favorable nCRT response in rectal cancer
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LIMPACAT: Multi-omics attention transformer for immune prediction in liver cancer using whole-slide imaging.
PMID 41511965 · PMC12788640 · PloS one · 2026 · 8 claims · 6 setups
LIMPACAT, a multiple instance learning attention transformer, predicts immune cell levels relevant to HCC prognosis directly from whole-slide images
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Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.
PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility
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Has reproduction · 68
Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility.
PMID 40660214 · PMC12257665 · Journal of translational medicine · 2025 · 8 claims · 8 setups
RIF endometrial samples segregate into two reproducible molecular subtypes: an immune-driven subtype (RIF-I) and a metabolic-driven subtype (RIF-M)
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Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.
PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups
Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile
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GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information
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Using ESTs to improve the accuracy of de novo gene prediction.
PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups
TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome