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 · 68
Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility.
PMID 40660214 · PMC12257665 · Journal of translational medicine · 2025 · 8 claims · 8 setups
RIF endometrial samples segregate into two reproducible molecular subtypes: an immune-driven subtype (RIF-I) and a metabolic-driven subtype (RIF-M)
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Full-text index only
Functional copy-number alterations in cancer.
PMID 18784837 · PMC2527508 · PloS one · 2008 · 8 claims · 3 setups
RAE is a comprehensive computational framework that robustly maps chromosomal alterations in tumor samples and statistically assesses their functional importance in cancer.
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Has reproduction · 83
Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.
PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups
CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.
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Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups
CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups
An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.