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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Capsular specificity in temperate phages of Klebsiella pneumoniae is driven by diverse receptor-binding enzymes.
PMID 42048315 · PMC13123978 · PLoS biology · 2026 · 8 claims · 5 setups
Capsular specificity in temperate K. pneumoniae phages is driven by structurally diverse prophage-encoded receptor-binding enzymes, including classical β-helix depolymerases, SGNH-domain hydrolases, and structurally novel RBPs.
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SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.
PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups
SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response
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Glioblastoma stem cells show transcriptionally correlated spatial organization.
PMID 41577992 · PMC12894897 · Communications biology · 2026 · 8 claims · 5 setups
GSCs from different patient samples exhibit diverse, characteristic multicellular spatial patterns in culture (e.g., anisotropic vs isotropic packing, overlapping vs non-overlapping space utilization)
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Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.
PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups
Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms
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Critical evaluation of drug response prediction models with DrEval.
PMID 42120410 · PMC13168506 · Nature communications · 2026 · 8 claims · 6 setups
DrEval is a living open-source benchmarking pipeline for unbiased, biologically meaningful evaluation of cancer drug response prediction models, integrating standardized preprocessing, hyperparameter tuning, statistically rigorous evaluation, cross-study benchmarks, and ablation studies.
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions