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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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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Has reproduction · 74
Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.
PMID 36518809 · PMC9744611 · Computational intelligence and neuroscience · 2022 · 7 claims · 6 setups
Autoencoder networks based on 266 shared DEGs reveal a comorbidity (positive) relationship between Alzheimer's disease and lung cancer.
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Has reproduction · 74
SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.
PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups
SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.
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The Bifidobacterium dentium Bd1 genome sequence reflects its genetic adaptation to the human oral cavity.
PMID 20041198 · PMC2788695 · PLoS genetics · 2009 · 8 claims · 8 setups
The B. dentium Bd1 genome was sequenced to completion, revealing a single circular 2,636,368 bp chromosome with 2,143 predicted ORFs
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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Sources of variability and effect of experimental approach on expression profiling data interpretation.
PMID 11936955 · PMC65691 · BMC bioinformatics · 2002 · 8 claims · 7 setups
Intra-patient tissue heterogeneity (different regions of the same biopsy) is often the greatest source of variability in expression profiling
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.
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Fine mapping and association studies of a high-density lipoprotein cholesterol linkage region on chromosome 16 in French-Canadian subjects.
PMID 19844255 · PMC2824775 · European journal of human genetics : EJHG · 2010 · 7 claims · 7 setups
A locus on chromosome 16q23-24 affects HDL-C levels in two independent French-Canadian family studies (QUE and SLSJ)