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).

• Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.

  PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups

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  INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets

  synthetic dorsolateral brain cortex simulated visium spatial

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets

  heart cortex visual brain spatial cell-type

• Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.

  PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups

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  No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms

  synthetic real simulated simulation spot-purity real-data

• Charting spatial ligand-target activity using Renoir.

  PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups

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  Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.

  intestine triple-negative dorsolateral dlpfc semi-synthetic spatial single-cell

• Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.

  PMID 41714655 · PMC13039149 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups

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  scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.

  skin combined annotated scrna-seq single-cell spatial cell2location

• ChemR23 prevents phenotypic switching of vascular smooth muscle cells into macrophage-like foam cells in atherosclerosis.

  PMID 41264461 · PMC13017563 · Cardiovascular research · 2026 · 8 claims · 7 setups

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  Non-haematopoietic (vascular) ChemR23 deficiency increases atherosclerotic lesion size and enhances VSMC proliferation and VSMC-derived foam cell formation

  apoe adventitia-stripped advanced aortic atherosclerotic bulk single-cell

• With the finished human genome in hand, what next?

  PMID 12844356 · PMC193627 · Genome biology · 2003 · 8 claims · 8 setups

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  Gene Ontology (GO) provides a syntax/query framework for functional classification of genes, expanding beyond E. coli origins into anatomy, pathology, and phenotype data.

  domestic saccharomyces systemic schistosoma comparative functional genetic

• bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.

  PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data

  tcga gtex stem embryonic paired semi-synthetic single-cell