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).

• Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.

  PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups

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  GARDEN identifies and characterizes rare pathogenic cell populations/regions in spatial omics by embedding graph-based dynamic attention into a spatially-aware graph fusion contrastive model

  breast anterior brain olfactory 10x starmap slide-seqv2

• 25th Annual San Antonio Breast Cancer Symposium, San Antonio, Texas, USA, 10-14 December 2002 Update on preclinical and translational research.

  PMID 12631391 · PMC154153 · Breast cancer research : BCR · 2003 · 8 claims · 8 setups

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  Growth factor signalling (EGF/HER-2/MAPK, AKT) phosphorylates the oestrogen receptor and drives development of endocrine-resistant breast cancer

  xenograft serum frozen tumour xenograft mass cdna

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• LazySlide: accessible and interoperable whole-slide image analysis.

  PMID 41862659 · PMC13076205 · Nature methods · 2026 · 8 claims · 8 setups

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  LazySlide is an open-source Python package built on the scverse ecosystem for whole-slide image (WSI) analysis and multimodal integration.

  artery gene wsis breast zero-shot bulk multimodal

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2

• 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