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).

• Integrated Single Cell Spatial Analysis Reveals Dysregulated Basal Progenitor Cells in Ulcerative Colitis Pathogenesis: A Multi Omics Study.

  PMID 41542331 · PMC12802566 · Health science reports · 2026 · 7 claims · 8 setups

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  BPC differentiation is significantly altered in UC, driven by a FABP1-led functional gene matrix

  colorectal colon patients bulk single-cell spatial bulk

• 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

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep

• metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.

  PMID 41530917 · PMC12818822 · Gut microbes · 2026 · 8 claims · 8 setups

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  metaFun is an open-source, end-to-end Nextflow/Apptainer pipeline integrating quality control, taxonomic profiling, functional profiling, de novo assembly, binning, genome assessment, comparative genomics, network analysis, and strain-level microdiversity analysis into a unified framework

  simulated selected gut mags novo binning pangenome-based

• 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