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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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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Early feature extraction drives model performance in high-resolution chromatin accessibility prediction.
PMID 41526189 · PMC12951969 · Genome research · 2026 · 8 claims · 6 setups
Early feature extraction (via ConvNeXt V2 blocks), rather than downstream architecture type, is the primary determinant of prediction accuracy in high-resolution chromatin accessibility prediction.
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How negative sampling shapes the performance of transcription factor binding site prediction models.
PMID 41601205 · PMC12910371 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 5 setups
Negative sampling technique significantly impacts TFBS prediction model performance and interpretation of results
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EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profiles.
PMID 41832145 · PMC13133354 · Nature communications · 2026 · 8 claims · 7 setups
EPInformer outperforms existing gene expression prediction models (Xpresso, CREaTor, Seq-GraphReg, Enformer, Borzoi) in rigorous 12-fold cross-chromosome validation for both RNA-seq and CAGE expression prediction
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CLAMP: predicting specific protein-mediated chromatin loops in diverse species with a chromatin accessibility language model.
PMID 41555433 · PMC12903630 · Genome biology · 2026 · 8 claims · 8 setups
CLAMP, a chromatin-accessibility language model, predicts protein-mediated chromatin loops across 10 species, 18 proteins, and 24 cell types with superior performance versus existing methods.