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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Single-cell epigenetic profiling reveals a tumor-intrinsic interferon response program in ccRCC tied to poor prognosis and BAP1 loss.
PMID 41719400 · PMC12922754 · Science advances · 2026 · 8 claims · 8 setups
Subclustering of ccRCC tumor cells reveals four shared epigenetic programs (C0-C3) recurrent across patients, cohorts, and disease stages
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Developing a comprehensive database and search tool for single-cell ATAC-seq data.
PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups
scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format
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Single-cell multiome and enhancer connectome of human retinal pigment epithelium and choroid nominate causal variants in macular degeneration.
PMID 41528844 · PMC12971065 · Cell reports · 2026 · 8 claims · 8 setups
Generated a single-cell gene expression and chromatin accessibility (multiome) atlas of human RPE and choroid from control and AMD eyes
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Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.
PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups
SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix
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Has reproduction · 65
Interpretable and integrative analysis of single-cell multiomics with scMKL.
PMID 40770488 · PMC12328712 · Communications biology · 2025 · 7 claims · 7 setups
scMKL outperforms SVM, EasyMKL, MLP, and XGBoost in classification accuracy (AUROC) across multiple single-cell cancer datasets
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Human neuronal differentiation under Aβ exposure: a single-cell transcriptomic and epigenomic dataset.
PMID 41807428 · PMC13103403 · Scientific data · 2026 · 8 claims · 4 setups
A paired scRNA-seq and scATAC-seq dataset was generated from NPCs differentiated over Days 0, 7, 13, and 20 under baseline and Aβ 1-42 exposure conditions
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GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data.
PMID 42108634 · PMC13158126 · Briefings in bioinformatics · 2026 · 6 claims · 5 setups
GAMMI consistently outperforms state-of-the-art integration methods (GLUE, Harmony, MIDAS, scMoMaT) in biological conservation and batch correction across five mosaic single-cell multi-omics benchmarks
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Spatial Transcriptomics of Human Decidua Identifies Molecular Signatures in Recurrent Pregnancy Loss.
PMID 41031483 · PMC13242933 · Genomics, proteomics & bioinformatics · 2026 · 7 claims · 8 setups
The human decidua contains two coherent spatial domains, the implantation zone (IZ) and glandular-secretory zone (GZ), corresponding to the decidua compacta and spongiosa
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Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis.
PMID 41862476 · PMC13004862 · Nature communications · 2026 · 7 claims · 8 setups
Mechanical stress (MS) signaling is significantly elevated in endothelial cells (ECs) from IPF patients and correlates with fibrosis severity and lung function decline
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Multimodal antigenic escape to GPRC5D-targeted T cell engagers in multiple myeloma.
PMID 41540108 · PMC13004696 · Nature medicine · 2026 · 7 claims · 7 setups
GPRC5D antigenic drift/mutational events occurred in 68.4% of relapsed cases following anti-GPRC5D TCE therapy (13/19 evaluable patients)
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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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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