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).

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

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

  Full-text index only

  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

• LIMPACAT: Multi-omics attention transformer for immune prediction in liver cancer using whole-slide imaging.

  PMID 41511965 · PMC12788640 · PloS one · 2026 · 8 claims · 6 setups

  Full-text index only

  LIMPACAT, a multiple instance learning attention transformer, predicts immune cell levels relevant to HCC prognosis directly from whole-slide images

  hcc simulated pbmc tcga-lihc scrna-seq type deconvolution

• Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.

  PMID 41952176 · PMC13188385 · Genome medicine · 2026 · 8 claims · 8 setups

  Full-text index only

  A multimodal transformer combining WSIs and gene expression outperforms models trained on either modality alone for classifying bronchial dysplasia or worse vs non-dysplasia.

  endobronchial bronchial colorado jules slide bulk microarray

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

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

  Full-text index only

  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

• An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.

  PMID 42147490 · PMC13179517 · Cell press blue · 2026 · 8 claims · 8 setups

  Has reproduction · 85

  Fibroblasts act as central regulators of structural immunity in the human oral cavity, forming peri-epithelial hubs enriched in effector cytokines

  oral ffpe scrna-seq integrated scrna-seq spatial ligand-receptor

• Directing stem cell differentiation by chromatin state approximation.

  PMID 41734818 · PMC12956330 · Nucleic acids research · 2026 · 8 claims · 8 setups

  Full-text index only

  Greedy selection of culture conditions by chromatin (ATAC-seq) distance to target is a viable optimisation strategy for differentiation protocols

  cd34+ cd34+-derived erythroid bone atac-seq flow rt-qpcr

• 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

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

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

  Full-text index only

  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

• 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

  Full-text index only

  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

• Colorectal microenvironment determines the prognosis of colorectal cancer.

  PMID 41495419 · PMC12868731 · Experimental & molecular medicine · 2026 · 8 claims · 7 setups

  Full-text index only

  The colorectal microenvironment (classified via NBT gene expression as tumor-supportive vs healthy) can serve as a prognostic biomarker predicting cancer invasiveness and recurrence

  paired nbt slide bulk bulk 16s single-cell