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 · 58
Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.
PMID 37415981 · PMC10320004 · Frontiers in immunology · 2023 · 7 claims · 8 setups
EAF1, SDCBP and RNF19B are common genetic characteristics (hub genes) shared by RA and MDD
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Has reproduction · 55
Gene module regulation in dilated cardiomyopathy and the role of Na/K-ATPase.
PMID 35901050 · PMC9333241 · PloS one · 2022 · 5 claims · 8 setups
Several co-expressed gene modules are significantly associated with left ventricle ejection fraction (LVEF) and the DCM phenotype, enriched in fibrosis-related, small molecule transporting-related, and immune response-related pathways.
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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 · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA-derived hub genes with a VAE-derived 10-dimensional representation as features for an SVM classifier achieves high accuracy (0.9692) and AUC (0.9981) for colorectal cancer prediction.
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Has reproduction · 76
Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis.
PMID 39825072 · PMC11742665 · Scientific reports · 2025 · 8 claims · 8 setups
56 shared genes with consistent expression trend were identified between OB and AS by intersecting WGCNA key module genes with DEGs
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Has reproduction · 48
Screening of Diagnostic Biomarkers and Immune Infiltration Characteristics Linking Rheumatoid Arthritis and Rosacea Based on Bioinformatics Analysis.
PMID 39104909 · PMC11299729 · Journal of inflammation research · 2024 · 8 claims · 8 setups
277 co-expressed DEGs shared between RA and rosacea are enriched in immune processes and chemokine-mediated signaling pathways
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Has reproduction · 71
Comprehensive comparison of gene expression diversity among a variety of human stem cells.
PMID 36458020 · PMC9706419 · NAR genomics and bioinformatics · 2022 · 6 claims · 7 setups
iPSC gene expression is more strongly influenced by tissue origin than other stem cell types, whereas ESCs and somatic stem cells (MSCs, HSCs) are more strongly impacted by culture condition.
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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
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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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 · 73
Identification of intrinsic genes across general hypertension, hypertension with left ventricular remodeling, and uncontrolled hypertension.
PMID 36277786 · PMC9582241 · Frontiers in cardiovascular medicine · 2022 · 7 claims · 8 setups
FBXW4 and 13 other genes are uniquely enriched in the general hypertension group
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Has reproduction · 84
A HML6 endogenous retrovirus on chromosome 3 is upregulated in amyotrophic lateral sclerosis motor cortex.
PMID 34253796 · PMC8275748 · Scientific reports · 2021 · 8 claims · 8 setups
The ERV locus HML6_3p21.31c is significantly upregulated in ALS post-mortem motor cortex after multiple-testing correction
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Has reproduction · 57
Diapause vs. reproductive programs: transcriptional phenotypes in a keystone copepod.
PMID 33782539 · PMC8007741 · Communications biology · 2021 · 8 claims · 7 setups
t-SNE clustering of all-gene expression data groups field-collected (diapause program) samples into one cluster while early and late culture (reproductive program) samples separate into two distinct phenotypes
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Has reproduction · 81
Assessing personalized molecular portraits underlying endothelial-to-mesenchymal transition within pulmonary arterial hypertension.
PMID 39462326 · PMC11513636 · Molecular medicine (Cambridge, Mass.) · 2024 · 8 claims · 8 setups
scRNA-seq of PAH and control lung tissue identifies nine distinct cell populations with high heterogeneity in composition, function, distribution, and communication
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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