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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CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.
PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups
CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.
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PubMatrix: a tool for multiplex literature mining.
PMID 14667255 · PMC317283 · BMC bioinformatics · 2003 · 8 claims · 3 setups
PubMatrix is a web-based CGI tool that queries PubMed with two lists of terms (search terms vs modifier terms) and returns a matrix of pairwise co-occurrence frequency counts
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Has reproduction · 33
Tracing truth: dynamic temporal networks for multi-modal fake news detection.
PMID 40989433 · PMC12453775 · PeerJ. Computer science · 2025 · 8 claims · 5 setups
The proposed dynamic temporal network (DTN) model improves multi-modal fake news detection accuracy by capturing temporal dynamics of propagation nodes and dynamically fusing multi-modal information.
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Has reproduction · 78
Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.
PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups
Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely
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Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.
PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups
A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments