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).

• SGCP: a spectral self-learning method for clustering genes in co-expression networks.

  PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups

  Has reproduction · 51

  SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.

  real microarray rna-seq same gene dna-microarray rna-sequencing

• Identification and analysis of co-occurrence networks with NetCutter.

  PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups

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  Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.

  publime bipartite randomized co-occurrence null-model signal-to-noise

• Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

  PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups

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  Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments

  zebrafish computational seven consolidated whole-adult-organism supervised quantitative

• Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies.

  PMID 18654633 · PMC2464715 · PLoS genetics · 2008 · 8 claims · 5 setups

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  A Bayesian-inspired penalised maximum likelihood stochastic search method can simultaneously analyse all SNPs (up to 500K) from a GWA study in a few hours on a desktop workstation

  fregene-simulated 80k-snp 480k 192k simulated null whole-genome

• OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.

  PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data

  simulated classical degs naive simulated bulk real