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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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Has reproduction · 50
Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.
PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 5 setups
A 186-gene signature derived from six GEO transcriptomic datasets predicts nCRT response in LARC with AUC 0.80 in cross-validation
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.
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Has reproduction · 71
Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.
PMID 34421903 · PMC8375662 · Frontiers in immunology · 2021 · 8 claims · 8 setups
TB patients show substantial individual variability in the intensity of hallmark IFN responses, as well as in complement system, metabolic, and other pathway responses.
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Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.
PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups
A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text