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).

• Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experiments.

  PMID 32093613 · PMC7041296 · BMC genomics · 2020 · 7 claims · 3 setups

  Has reproduction · 62

  The Equivalent Change Index (ECI), a gene-level statistic ranging from -1 to 1, quantifies whether a gene was changed to the same (1) or completely opposite (-1) degree across two experiments relative to their controls.

  simulated white model simulation gene

• 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

• Heterogeneity and Differentiation Trajectories of Infiltrating CD8+ T Cells in Lung Adenocarcinoma.

  PMID 36358600 · PMC9658355 · Cancers · 2022 · 7 claims · 8 setups

  Has reproduction · 67

  Infiltrating CD8+ T cells in LUAD can be divided into ten transcriptionally distinct subsets: eight cytotoxic (CTL) subsets, one naive-like (NTL) subset, and one exhausted (ETL) subset.

  luad tcga cd8+ degs single-cell cibersort survival

• A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.

  PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups

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  A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.

  kidney same identified additional microarray significance fisher's