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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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
Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs
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Has reproduction · 78
Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.
PMID 41953002 · PMC13053772 · iScience · 2026 · 7 claims · 8 setups
An integrated framework of bioinformatics, machine learning, and ΔG clustering can prioritize PAHs for AD-associated neurotoxicity.
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MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.
PMID 19758471 · PMC2745589 · BMC bioinformatics · 2009 · 8 claims · 5 setups
MtSNPscore, a weighted scoring pipeline combining literature evidence, in silico predictions, and case/control frequency, can prioritize likely pathogenic mtDNA variations
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Has reproduction · 71
Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.
PMID 41048340 · PMC12491262 · Frontiers in bioinformatics · 2025 · 8 claims · 8 setups
LUAD samples cluster into IRG-high and IRG-low groups, with the IRG-high group showing significantly better survival and greater immune cell infiltration.
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Has reproduction · 85
Predicting the pathogenicity of missense variants using features derived from AlphaFold2.
PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups
AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.
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Has reproduction · 100
Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.
PMID 37471455 · PMC10393163 · PLoS computational biology · 2023 · 8 claims · 8 setups
A network-based meta-analysis across studies identifies a common 45-gene signature specific to active TB disease that accounts for cohort/population heterogeneity
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Has reproduction · 78
T Cells With Activated STAT4 Drive the High-Risk Rejection State to Renal Allograft Failure After Kidney Transplantation.
PMID 35844542 · PMC9283858 · Frontiers in immunology · 2022 · 8 claims · 8 setups
Unsupervised UMAP/Leiden clustering of 2,611 microarray datasets reveals 6 rejection states that diverge from traditional Banff clinical classification
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort
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BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules