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).

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups

  Has reproduction · 77

  SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD

  luad lusc skcm trained deep benchmark model

• Investigating the genetic association between ERAP1 and ankylosing spondylitis.

  PMID 19692350 · PMC2758148 · Human molecular genetics · 2009 · 8 claims · 8 setups

  Full-text index only

  The genetic association between ERAP1 and AS is confirmed in an independent replication cohort

  patients cases genotype comparison snp meta-analysis resequencing

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups

  Has reproduction · 89

  GRF identifies effective features that form highly connected sub-graphs on the underlying biological network

  synthetic tcga embryonic simulation sub-graph reproducibility

• Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.

  PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups

  Full-text index only

  Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions

  saccharomyces correlated chip-chip gene

• Identification and characterization of tryptophan metabolism-related genes in carotid artery plaques.

  PMID 41628167 · PMC12863520 · PloS one · 2026 · 8 claims · 6 setups

  Full-text index only

  446 differentially expressed genes (DEGs) were identified between carotid plaque and normal tissue, enriched in immune and tryptophan-related pathways

  carotid degs six bulk kegg logistic