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 · 92
Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes.
PMID 28446242 · PMC5406893 · Genome medicine · 2017 · 8 claims · 7 setups
Application of GFRN pathway signatures to breast tumor gene expression data identifies two discrete phenotypes: a 'survival phenotype' (concordant activation of HER2, IGF1R, AKT) and a 'growth phenotype' (concordant activation of EGFR, KRAS(G12V), RAF1, BAD)
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Full-text index only
An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer immunological prevention.
PMID 16351756 · PMC1866378 · BMC bioinformatics · 2005 · 8 claims · 6 setups
Meta-analysis of two independent BALB-neuT transcription profiling studies can identify new TAA candidates usable instead of or with Her2
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Has reproduction · 84
Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.
PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups
A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions
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Has reproduction · 50
SMAC, a computational system to link literature, biomedical and expression data.
PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 8 claims · 8 setups
SMAC is a tool that extracts, prioritises, integrates and analyses biomedical and molecular data according to user-defined terms