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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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases.
PMID 19063745 · PMC2613935 · BMC bioinformatics · 2008 · 8 claims · 5 setups
Gene Prospector is a Web-based application that selects and prioritizes potential disease-related genes using a curated, updated literature database of genetic association studies
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Has reproduction · 75
An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries.
PMID 33247935 · PMC7698665 · Database : the journal of biological databases and curation · 2020 · 8 claims · 6 setups
GETc enables discovery and visualization of time-course gene expression data and analytical results from GEO
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Seeded Bayesian Networks: constructing genetic networks from microarray data.
PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups
Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed
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Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.
PMID 19728866 · PMC2768980 · Genome biology · 2009 · 6 claims · 6 setups
Integrating 16 genomic features (32 sub-features) via a naïve Bayes classifier produces a genome-scale FLN of 21,657 human genes and 22,388,609 weighted links that outperforms any individual data source for inferring functional linkages.