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

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  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

• Construction of a SEMA3 family-based model to predict prognosis and molecular subtypes in pancreatic ductal adenocarcinoma.

  PMID 41792569 · PMC13079247 · Discover oncology · 2026 · 8 claims · 8 setups

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  SEMA3 family expression defines two molecular subtypes (A and B) of PDAC with significantly different overall survival

  pdac bulk ssgsea differential

• AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.

  PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.

  seven same scrna-seq-based chip-seq cold-start