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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Full-text index only
Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.
PMID 18986552 · PMC2625353 · BMC systems biology · 2008 · 8 claims · 6 setups
Integrated WGCNA (IWGCNA), which adds genetic marker-based causality testing to standard WGCNA, can identify a disease-related module and its causal drivers
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Has reproduction · 88
Vaccine-induced ICOS(+)CD38(+) circulating Tfh are sensitive biosensors of age-related changes in inflammatory pathways.
PMID 34095875 · PMC8149371 · Cell reports. Medicine · 2021 · 8 claims · 8 setups
Vaccine-induced ICOS+CD38+ cTfh from elderly adults show increased TNF-NF-κB pathway transcriptional signaling compared to young adults at day 7 post-vaccination
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Has reproduction · 55
Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.
PMID 34107850 · PMC8806433 · Bioengineered · 2021 · 7 claims · 8 setups
131 robust DEGs (89 upregulated, 42 downregulated) were identified by RRA integration of three vitiligo datasets and are closely associated with melanogenesis and vitiligo development
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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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Has reproduction · 66
Caloric Restriction Reprograms Adipose Tissues in Rhesus Monkeys.
PMID 41042069 · PMC12686577 · Aging cell · 2025 · 8 claims · 8 setups
At baseline, SAT and VAT transcriptomes are highly similar, with only ~1% of genes (30 genes, adjusted p<0.05) differentially expressed between depots in Controls
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Full-text index only
Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.
PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups
ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.
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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 · 7 setups
A network-based meta-analysis of 27 discovery cohorts identified a common 45-gene signature specific to active TB disease across studies.
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Has reproduction · 79
Decoding and reconstructing disease relations between dry eye and depression: a multimodal investigation comprising meta-analysis, genetic pathways and Mendelian randomization.
PMID 38548265 · PMC11954816 · Journal of advanced research · 2025 · 8 claims · 8 setups
Meta-analysis confirmed a positive association between DED and DEP occurrence
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Has reproduction · 50
Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.
PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups
A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.