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).

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.

  PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups

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  UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data

  simulated colorectal hippocampus ear simulated runtime spatial

• Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

  PMID 41627342 · PMC12862982 · Briefings in bioinformatics · 2026 · 7 claims · 3 setups

  Has reproduction · 89

  No single existing SOTA imputation method consistently performs well across newer SRT platforms/datasets

  datasets srt same computational proposed

• 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

• 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

• SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.

  PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties

  gse114007 gse261545 dryad.37pvmcvsg prjna762466 bulk spatial merfish

• CLUES A Comprehensive Workflow for Integrating Geospatial Data in Biomedical Research.

  PMID 42128886 · PMC13172076 · Nature communications · 2026 · 8 claims · 5 setups

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  CLUES is an open-source, end-to-end workflow that automates selection, download, harmonization, and linkage of open-access geospatial environmental data to individual-level biomedical data without requiring geospatial expertise.

  national copernicus digital norwegian large-scale download spatial

• Cell neighborhood topology directs rare cell population identification.

  PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell