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 · 76
High DNA methylation age deceleration defines an aggressive phenotype with immunoexclusion environments in endometrial carcinoma.
PMID 37388735 · PMC10303802 · Frontiers in immunology · 2023 · 8 claims · 8 setups
Almost 90% of TCGA EC tumors exhibit DNA methylation age deceleration (DNAmad) relative to patient chronological age as assessed by the Horvath clock
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Has reproduction · 88
Human methylome variation across Infinium 450K data on the Gene Expression Omnibus.
PMID 33937763 · PMC8061458 · NAR genomics and bioinformatics · 2021 · 8 claims · 6 setups
Approximately two-thirds of compiled HM450K samples are from blood, one-quarter from brain, and roughly one-third from cancer patients.
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Has reproduction · 88
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS).
PMID 31035919 · PMC6489300 · BMC bioinformatics · 2019 · 7 claims · 8 setups
pwrEWAS is a user-friendly tool (R package and Shiny web interface) for comprehensive power estimation in two-group EWAS using Illumina HumanMethylation BeadChip technology.
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Has reproduction · 48
Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.
PMID 40665390 · PMC12261677 · Epigenetics & chromatin · 2025 · 5 claims · 6 setups
A reduced model combining a selected set of 37 X chromosomal DNAm probes with six best-performing autosomal DNAm probes significantly improved age prediction accuracy (RMSE 2.54 years, MAD 1.89 years).
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Has reproduction · 93
Epistemic uncertainty challenges aging clock reliability in predicting rejuvenation effects.
PMID 39072888 · PMC11561706 · Aging cell · 2024 · 8 claims · 8 setups
DNA methylation profiles observed across cellular reprogramming are poorly represented in the training data of existing aging clocks, introducing high out-of-distribution/epistemic uncertainty in their age estimates