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).

• Benchmarking component choices for unpaired single cell RNA and epigenomic integration.

  PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups

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  Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.

  e18 pbmc brain kidney scrna-seq share-seq gas

• Mapping Genetic Regulation of Transcription to Identify Functional Variants and Genes Associated with Pancreatic Cancer Risk.

  PMID 41824785 · PMC13205582 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  A genome-wide cis-eQTL meta-analysis of 482 pancreatic tissues (177 TCGA tumor + 305 GTEx normal) identified 1,123,483 significant SNP-gene pairs, 709,720 unique eQTLs, and 13,758 eGenes (FDR<0.05)

  tcga chinese significant egenes cis-eqtl gwas variant

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 83

  CHCT, a two-tier hierarchical classification tool built from methylation data, accurately classifies primary cancer type across 30 cancer types.

  tumor clinical methylation clustered methylation unsupervised anova

• FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.

  PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups

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  FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.

  colorectal crc breast he-stained spatial type ccc

• Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.

  PMID 39009986 · PMC11247842 · Genetics, selection, evolution : GSE · 2024 · 5 claims · 8 setups

  Has reproduction · 69

  Meta-analysis of GWAS across six dairy cattle breeds identifies 58 lead markers associated with clinical mastitis and somatic cell score

  six combined per-breed genome-wide sequence-based trans-ethnic fixed-effect