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).

• Ion-Channel-Mediated Drug Repurposing Opportunities Validated by Single-Cell Perturbation in Colorectal Cancer.

  PMID 42074061 · PMC13116841 · International journal of molecular sciences · 2026 · 8 claims · 6 setups

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  WGCNA on CRC transcriptomes identified 100 hub genes spanning three functional programs: ribosomal biogenesis, RNA processing, and immune

  crc independent hct116 bulk protein-protein vgae-based

• MetaScreener: a robust dual-mode framework for directional prioritization of actionable signatures through multi-dataset and multi-approach integration.

  PMID 41845481 · PMC13107662 · Journal of translational medicine · 2026 · 8 claims · 7 setups

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  MetaScreener is a dual-mode framework (DiffMetaScreener for discrete labels, CorMetaScreener for continuous variables) integrating over 4,000 analysis pipelines to compute activation/inhibition directionality indices (ADI/IDI/DI) for gene signatures

  crc independent ctrp rko differential robustness single-cell

• Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.

  PMID 35012625 · PMC8743438 · Genome biology · 2022 · 8 claims · 9 setups

  Has reproduction · 68

  GENEVA (Gene Expression Variance Analysis) is a semi-automated framework that mines large-scale public RNA-seq datasets to identify conditions associated with a gene's expression variance

  gtex genetic lncap heart rna-seq meta-analysis electronic

• Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.

  PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups

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  UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data

  simulated colorectal hippocampus ear simulated runtime spatial