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).

• Deep single-cell decoding of human pancreatic islets reveals T2D β-cell gene expression defects.

  PMID 41986506 · PMC13226668 · The EMBO journal · 2026 · 8 claims · 6 setups

  Full-text index only

  Single-cell transcriptome profiling of 245,878 islet cells from 48 donors (ND/PD/T2D) identifies 14 distinct, robust islet cell types detected in every donor

  pancreatic aggregated endoc-βh3 subset droplet-based pseudobulk unsupervised

• Deconvolving cell-type-specific gene expression profiles from bulk RNA-seq samples.

  PMID 41886524 · PMC13038110 · PLoS computational biology · 2026 · 8 claims · 6 setups

  Full-text index only

  BLUE, a U-Net-based deep learning model with dual branches (U-Net for GEPs, MLP for proportions), accurately predicts cell-type proportions and cell-type-specific gene expression profiles from bulk RNA-seq.

  pbmc pancreatic aml scrna-seq-derived real scrna-seq

• Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

  PMID 41689808 · PMC12925207 · STAR protocols · 2026 · 6 claims · 6 setups

  Full-text index only

  scPrediXcan enables cell-type-specific transcriptome-wide association studies (TWAS) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features.

  acinar individual-level geuvadis beta mlp-based personalized elastic-net