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).

• Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

  PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

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  None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

  ensembl swissprot same structural foldx side

• Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning.

  PMID 37009294 · PMC10063855 · Frontiers in pediatrics · 2023 · 7 claims · 5 setups

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  A machine learning stability selection approach (bootstrapped logistic regression, 100 simulations) can identify genes associated with PaO2/FiO2 < 200 vs ≥200 when standard differential expression with FDR correction shows no overlap between cohorts.

  pediatric combined top-ranked whole-blood machine pathway

• A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.

  PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups

  Has reproduction · 92

  The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network

  case-control gene-gene fictional familial snp-phenotype gene-level network-guided

• Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data.

  PMID 41957754 · PMC13188360 · BioData mining · 2026 · 8 claims · 2 setups

  Has reproduction · 92

  hEFS integrates data subsampling with multiple (nine) survival prediction models, combining embedded and wrapper-based feature selection strategies

  pancreatic pdac multi-omics gene

• A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

  PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups

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  Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.

  breast preprocessed microarray two-color perturbation