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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Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.
PMID 19901961 · PMC2820592 · Oncogene · 2010 · 8 claims · 6 setups
Unsupervised gene expression clustering identifies 3 reproducible molecular subtypes of LMS (Group I/muscle-enriched, Group II, Group III)
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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 · 8 setups
CHCT, a two-tier hierarchical classification tool built from methylation data, accurately classifies primary cancer type across 30 cancer types.
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Has reproduction · 63
Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.
PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups
Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes
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CLEAN: CLustering Enrichment ANalysis.
PMID 19640299 · PMC2734555 · BMC bioinformatics · 2009 · 8 claims · 4 setups
The gene-specific CLEAN score improves reproducibility of cluster analysis conclusions across independent datasets compared to the traditional cluster-wide score (cwCLEAN).
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Identification of Cell Subpopulation-Specific Driver Genes Reveals Ideal Candidates for Renal Cell Carcinoma Immunotherapy.
PMID 42074110 · PMC13115843 · International journal of molecular sciences · 2026 · 8 claims · 8 setups
25 immune-related candidate driver genes were identified from tumor, myeloid, and lymphoid cell gene regulatory networks (GRNs) using SCENIC and topological Q statistics.
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Variations in the transcriptome of Alzheimer's disease reveal molecular networks involved in cardiovascular diseases.
PMID 18842138 · PMC2760875 · Genome biology · 2008 · 8 claims · 6 setups
AD-related genes (APOE, A2M, PON2, MAP4) and CVD-associated genes (COMT, CBS, WNK1) congregate in a single co-expression module, linking AD and CVD at the transcriptional level