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
Integromics: challenges in data integration.
PMID 12186644 · PMC139396 · Genome biology · 2002 · 8 claims · 7 setups
There is no simple solution to database integration in genomics/bioinformatics
-
Has reproduction · 75
stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.
PMID 41692960 · PMC12960910 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
stDyer-image directly associates the image modality with predicted cluster labels rather than using images to enhance/impute gene expression data
-
Has reproduction
Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.
PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 8 claims · 8 setups
A three-class WSI cluster (C0/C1/C2) derived via mini batch K-means clustering on Inception V3-extracted image features is significantly associated with overall survival and is an independent prognostic predictor in BLCA.
-
Has reproduction · 100
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.
PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups
S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.
-
Has reproduction · 74
Evaluation of classification and forecasting methods on time series gene expression data.
PMID 33156855 · PMC7647064 · PloS one · 2020 · 8 claims · 4 setups
Deep learning based methods generally outperform traditional approaches for time series gene expression classification.