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 · 100
Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
PMID 35191485 · PMC9048691 · Bioinformatics (Oxford, England) · 2022 · 7 claims · 3 setups
TDA summary statistics can be combined with ABC to infer parameters (ρ, χ) of the Anderson–Chaplain angiogenesis model
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Prediction-based approaches to characterize bidirectional promoters in the mammalian genome.
PMID 18366609 · PMC2386062 · BMC genomics · 2008 · 8 claims · 7 setups
The mapping algorithm identified 5,647 candidate bidirectional promoter regions in the mouse genome, similar in number to those previously found in human.
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KEGG for linking genomes to life and the environment.
PMID 18077471 · PMC2238879 · Nucleic acids research · 2008 · 8 claims · 4 setups
KEGG provides a reference knowledge base for linking genomes to life via PATHWAY mapping and to the environment via BRITE mapping.
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Has reproduction · 84
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression.
PMID 33252656 · PMC7702219 · GigaScience · 2020 · 8 claims · 2 setups
Ridge regression can be reparameterized in terms of γ, the ratio between the L2-norms of the regularized and unregularized (OLS) coefficient solutions, defining 'fractional ridge regression' (FRR)
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Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.
PMID 19997482 · PMC2776985 · PLoS computational biology · 2009 · 7 claims · 4 setups
An ILP formulation of the Boolean pathway optimization problem fits phosphoproteomic data faster and more efficiently than the previously used genetic algorithm (GA) approach.
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Transcription network construction for large-scale microarray datasets using a high-performance computing approach.
PMID 18366618 · PMC2386070 · BMC genomics · 2008 · 8 claims · 7 setups
RMT removes the random noise component of the gene expression correlation matrix by testing its eigenvalue statistics against a null hypothesis derived from a truly random correlation matrix