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
Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.
PMID 39890881 · PMC11785715 · Scientific reports · 2025 · 8 claims · 5 setups
sJSD, NIG, and TNFE methods can detect critical states/tipping points before disease deterioration using only a single sample
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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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A note on generalized Genome Scan Meta-Analysis statistics.
PMID 15717930 · PMC551600 · BMC bioinformatics · 2005 · 7 claims · 3 setups
An Edgeworth series approximation to the null distribution of the weighted GSMA statistic provides a more accurate representation than the normal approximation, especially in the tails
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A statistical approach for array CGH data analysis.
PMID 15705208 · PMC549559 · BMC bioinformatics · 2005 · 8 claims · 4 setups
Existing model-selection criteria (AIC, BIC, and prior ad hoc penalties) are not well adapted to estimating the number of segments in array CGH data
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Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies.
PMID 16899448 · PMC1557808 · Nucleic acids research · 2006 · 7 claims · 4 setups
3D VizStruct (DFT-based radial mapping + KLD as z-axis) can identify SNPs/polymorphic markers that are predictive of underlying biological class distinctions across diverse datasets