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).

• Bayesian survival analysis in genetic association studies.

  PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups

  Full-text index only

  A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.

  simulated same sanad bayesian univariate partial

• Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies.

  PMID 16899448 · PMC1557808 · Nucleic acids research · 2006 · 7 claims · 4 setups

  Full-text index only

  3D VizStruct (DFT-based radial mapping + KLD as z-axis) can identify SNPs/polymorphic markers that are predictive of underlying biological class distinctions across diverse datasets

  lpl y-chromosome coral simulated snp aflp numerical

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

  PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups

  Has reproduction · 87

  CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.

  breast ovarian simulated gene semi-supervised novo

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

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

  Full-text index only

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

  breast preprocessed microarray two-color perturbation