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).
-
Full-text index only
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
LIMPACAT, a multiple instance learning attention transformer, predicts immune cell levels relevant to HCC prognosis directly from whole-slide images
-
Has reproduction · 85
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
Fibroblasts act as central regulators of structural immunity in the human oral cavity, forming peri-epithelial hubs enriched in effector cytokines
-
Full-text index only
Colorectal microenvironment determines the prognosis of colorectal cancer.
PMID 41495419 · PMC12868731 · Experimental & molecular medicine · 2026 · 8 claims · 7 setups
The colorectal microenvironment (classified via NBT gene expression as tumor-supportive vs healthy) can serve as a prognostic biomarker predicting cancer invasiveness and recurrence
-
Full-text index only
Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.
PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups
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
-
Full-text index only
Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
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