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 · 75
Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
PMID 34143800 · PMC8213194 · PloS one · 2021 · 8 claims · 7 setups
306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified from three independent GEO microarray datasets comparing EOC and adjacent normal ovarian tissue
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Has reproduction · 50
STAT1 and IL-7 as potential diagnostic biomarkers for distinguishing high-grade from low-grade serous ovarian cancer: a multi-cohort analysis.
PMID 42058211 · PMC13120972 · Frontiers in immunology · 2026 · 8 claims · 7 setups
STAT1 and IL-7 are differentially expressed immune-related genes that can distinguish HGSOC from LGSOC with strong diagnostic performance in the training cohort (AUC 0.908 and 0.842).
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Full-text index only
Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
PMID 19936259 · PMC2775948 · PloS one · 2009 · 8 claims · 8 setups
Integrated proteomic analysis of a cancer mouse model and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.
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Has reproduction · 84
An NMF-Based Methodology for Selecting Biomarkers in the Landscape of Genes of Heterogeneous Cancer-Associated Fibroblast Populations.
PMID 32425511 · PMC7218276 · Bioinformatics and biology insights · 2020 · 8 claims · 6 setups
An integrated methodology combining nonnegative matrix factorization (NMF), the WebGestalt functional enrichment tool, and an ad hoc gene extraction procedure automatically identifies informative gene subsets from microarray data matrices that differ in number of genes (rows) and patients (columns)