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).

• DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits.

  PMID 31694669 · PMC6836538 · Genome biology · 2019 · 8 claims · 8 setups

  Has reproduction · 56

  DESE is a unified iterative framework that estimates driver tissues of complex diseases/traits from tissue-selective expression of GWAS-associated genes, and outputs prioritized susceptibility genes as a byproduct

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• pyrpipe: a Python package for RNA-Seq workflows.

  PMID 34085037 · PMC8168212 · NAR genomics and bioinformatics · 2021 · 8 claims · 3 setups

  Has reproduction · 79

  pyrpipe enables development of flexible, reproducible, and easy-to-debug RNA-Seq computational pipelines purely in Python, in an object-oriented manner

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• Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses.

  PMID 32542016 · PMC7295234 · PloS one · 2020 · 6 claims · 8 setups

  Has reproduction · 51

  Five tyrosine catabolic enzymes (TAT, HPD, HGD, GSTZ1, FAH) are downregulated in HCC versus normal liver at mRNA and protein levels

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• Integrated multi-omics analysis combined with clinical validation reveals that HLA-DRB5 and ODAPH are causal risk genes for keratoconus.

  PMID 41803193 · PMC13179358 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 64

  HLA-DRB5 and ODAPH are causal risk genes for keratoconus, supported by SMR and Bayesian colocalization (HLA-DRB5 PP4=0.844, SMR p=0.001, OR=1.768; ODAPH PP4=1.0, SMR p=0.013, OR=202.851).

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• Correcting scale distortion in RNA sequencing data.

  PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)

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