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 · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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Has reproduction · 84
Single-cell protein activity analysis reveals aberrant myogenesis and IGF2-PI3K pathway dependencies in MYOD1-mutant rhabdomyosarcoma.
PMID 41758938 · PMC12947870 · Science advances · 2026 · 7 claims · 8 setups
MYOD1 L122R-mutant SRMS comprises three coexisting tumor cell states (MYOD1-enriched progenitor-like, proliferative transition, and partially differentiated with reduced MYOD1 activity) reflecting disrupted myogenic differentiation.
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Has reproduction · 30
Genomic and transcriptomic plasticity in treatment-naive ovarian cancer.
PMID 24221193 · PMC3912411 · Genome research · 2014 · 8 claims · 8 setups
Treatment-naïve epithelial ovarian cancers show extensive intra-tumor heterogeneity of genomic rearrangements, with the most substantial differences occurring between omentum/peritoneum metastases and ovarian tumor sites.
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Full-text index only
Cancer genomics identifies regulatory gene networks associated with the transition from dysplasia to advanced lung adenocarcinomas induced by c-Raf-1.
PMID 19812696 · PMC2754338 · PloS one · 2009 · 8 claims · 5 setups
Comparison of tumor, transgenic, and non-transgenic lung cells reveals distinct and overlapping regulatory gene networks associated with progression to adenocarcinoma.
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Full-text index only
Improvements to cardiovascular gene ontology.
PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups
Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.