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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Testing whether genetic variation explains correlation of quantitative measures of gene expression, and application to genetic network analysis.
PMID 18444230 · PMC2729096 · Statistics in medicine · 2008 · 8 claims · 3 setups
A statistical test (delta method and Steiger-Browne optimal linear composites) is developed to test equality of the marginal correlation and the partial correlation of two gene expression traits conditional on a set of covariates.
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Bayesian coestimation of phylogeny and sequence alignment.
PMID 15804354 · PMC1087833 · BMC bioinformatics · 2005 · 7 claims · 3 setups
Alignment and phylogenetic inference are mutually dependent, and treating them as separate sequential steps (align then infer tree) is fundamentally flawed and produces biased, overconfident estimates.
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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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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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Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.
PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups
ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.