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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Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.
PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups
A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies
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Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs.
PMID 16261191 · PMC1246807 · PLoS computational biology · 2005 · 7 claims · 7 setups
A comprehensive stoichiometric model of the MAP was built comprising 197 metabolites, 219 reactions, and 28 proteins
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Has reproduction · 83
SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.
PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups
SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.
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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.