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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A spatially resolved human glioblastoma atlas reveals distinct cellular and molecular patterns of anatomical niches.
PMID 41714633 · PMC13031279 · Nature communications · 2026 · 8 claims · 6 setups
GBM exhibits distinct cellular and molecular patterns organized by anatomical niche, with malignant, vascular, and immune compartments showing region-specific spatial associations
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Proteomics as a tool for biomarker discovery.
PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups
A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention
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Single-cell mapping of cholesterol metabolism reveals FDPS as a therapeutic vulnerability in hepatocellular carcinoma.
PMID 41706364 · PMC12916967 · Cellular oncology (Dordrecht, Netherlands) · 2026 · 7 claims · 8 setups
Cholesterol metabolic activity is markedly elevated in HCC tumors and in immune checkpoint blockade (ICB) non-responders, with pronounced intratumoral heterogeneity across malignant cell subpopulations
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Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer.
PMID 42038020 · PMC13104725 · Journal of Cancer · 2026 · 7 claims · 8 setups
MSI gastric cancer samples show significantly greater T cell infiltration and a lower proportion of epithelial cells compared to GS samples
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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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A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.
PMID 41923359 · PMC13090826 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
LncADeep 2.0 outperforms LncADeep and other existing tools for lncRNA identification on both GENCODE annotated transcripts and independent RNA-seq data
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scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.
PMID 41507436 · PMC12859067 · Communications biology · 2026 · 7 claims · 7 setups
scXDR outperforms seven methods that transfer drug response information from bulk RNA-seq to single-cell data, across all four evaluated scenarios