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).

• SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.

  PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups

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  SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response

  cortex liver clear breast spatial elastic

• Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models.

  PMID 41540084 · PMC12894745 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups

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  The presence of immune cells in the environment significantly alters CLL cell activation

  autologous monoculture non-adherent pbmc bulk flow deconvolution

• Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.

  PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups

  Has reproduction · 83

  AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy

  stage patients tumour whole-tumour radiomics bulk cellular

• An integrated single-cell lung cancer atlas reveals distinct fibroblast phenotypes between adenocarcinoma and squamous cell carcinomas.

  PMID 41577803 · PMC12920623 · NPJ precision oncology · 2026 · 8 claims · 8 setups

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  Inflammatory CAFs (iCAFs) predominate in LUAD, whereas myofibroblastic CAFs (mCAFs) predominate in LUSC

  nsclc epithelial macrophage caf scrna-seq copy gene-set

• 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