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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Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.
PMID 37009294 · PMC10063855 · Frontiers in pediatrics · 2023 · 7 claims · 5 setups
A machine learning stability selection approach (bootstrapped logistic regression, 100 simulations) can identify genes associated with PaO2/FiO2 < 200 vs ≥200 when standard differential expression with FDR correction shows no overlap between cohorts.
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DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.
PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups
Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification
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WBT-DC pipeline: a cross-cohort and cross-platform disease classification pipeline based on whole-blood transcriptomics.
PMID 42116144 · PMC13173921 · Journal of translational medicine · 2026 · 8 claims · 8 setups
WBT-DC integrates rank-based GSVA feature extraction with an ensemble random forest framework using cross-validation and hyperparameter optimization to mitigate batch effects.
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Has reproduction · 71
Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage.
PMID 38295140 · PMC10830027 · PloS one · 2024 · 6 claims · 7 setups
Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.
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Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.
PMID 41731547 · PMC13037183 · BMC medicine · 2026 · 8 claims · 5 setups
Unsupervised ML analysis of ALS transcriptomes consistently identifies molecular subtypes reflecting distinct biological processes, primarily oxidative stress (ALS-Ox) and glial activation/neuroinflammation (ALS-Glia), found in every study reviewed.