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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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
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Re-evaluating early breast neoplasia.
PMID 18279539 · PMC2374963 · Breast cancer research : BCR · 2008 · 8 claims · 7 setups
The classic single linear model of breast cancer progression requires revision based on high-throughput molecular genetic and gene expression data.
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Has reproduction · 22
Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.
PMID 41925147 · PMC13051084 · Science progress · 2026 · 8 claims · 1 setups
MICRO-AI's attention-weighted feature fusion reduces dimensionality by over 99% (from ~20,000 to ~127 genes) without loss of biological significance
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A DNA microarray survey of gene expression in normal human tissues.
PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups
Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.
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Have microarrays failed to deliver for developmental biology?
PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups
Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.
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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes