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).

• What can genome-wide association studies tell us about the genetics of common disease?

  PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups

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  Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants

  case gwa simulated literature cochran-armitage computer

• A note on generalized Genome Scan Meta-Analysis statistics.

  PMID 15717930 · PMC551600 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  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

  simulated schizophrenia monte genome numerical

• 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

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  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.

  liver simulated conserved nearly gene simulation kolmogorov-smirnov

• Modeling ChIP sequencing in silico with applications.

  PMID 18725927 · PMC2507756 · PLoS computational biology · 2008 · 8 claims · 4 setups

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  Observed ChIP-seq tag counts follow an initial power-law distribution followed by a long right tail.

  stat1 ncbi chip-seq motif

• Holliday junction recognition protein (HJURP) could reflect the clinical outcomes of lung adenocarcinoma patients, and impact the choice of precision therapy.

  PMID 39649097 · PMC11621083 · Frontiers in genetics · 2024 · 7 claims · 8 setups

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  HJURP is a significant prognostic biomarker in LUAD, with high expression associated with increased risk of overall survival death across four independent cohorts

  tcga-luad best brain advanced bulk kaplan-meier pearson

• A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.

  PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups

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  CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts

  tcga-gbm glioma meta consensus wgcna machine

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

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  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids