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).
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Has reproduction · 53
Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.
PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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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.
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Has reproduction · 100
Intratumoral heterogeneity in microsatellite instability status at single-cell resolution.
PMID 41767255 · PMC12936829 · iScience · 2026 · 8 claims · 7 setups
A novel computational (Snakemake) pipeline quantifies intratumoral heterogeneity in MSI status at single-cell resolution
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Has reproduction · 79
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.
PMID 33705981 · PMC9403021 · Genomics, proteomics & bioinformatics · 2021 · 8 claims · 6 setups
TSUNAMI is a freely accessible web-based tool suite that mines gene co-expression network (GCN) modules from public (GEO, TCGA) or user-uploaded numerical omics data and performs downstream gene set enrichment analysis.
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Characterisation and protein expression profiling of annexins in colorectal cancer.
PMID 18071363 · PMC2361450 · British journal of cancer · 2008 · 7 claims · 5 setups
Annexins A1, A2, A4 and A11 are overexpressed in primary colorectal cancer compared with normal colon
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity