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 · 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 · 73
Expression Patterns of Immune Genes Reveal Heterogeneous Subtypes of High-Risk Neuroblastoma.
PMID 32629858 · PMC7408437 · Cancers · 2020 · 8 claims · 8 setups
Unsupervised biclustering of 283 NB-specific immune genes stratifies HR-NB into two reproducible subtypes: ultra-high-risk (UHR-NB) and (revised) HR-NB.
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Integrative analysis of RUNX1 downstream pathways and target genes.
PMID 18671852 · PMC2529319 · BMC genomics · 2008 · 7 claims · 8 setups
Integrating gene expression profiles from three independent RUNX1 perturbation platforms (FPD-AML patient cell lines, RUNX1/CBFβ overexpression in HeLa cells, Runx1 knockout mouse embryos) identifies RUNX1-regulated genes and downstream pathways
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Full-text index only
Genomic data sampling and its effect on classification performance assessment.
PMID 12553886 · PMC149349 · BMC bioinformatics · 2003 · 8 claims · 3 setups
Cross-validation, leave-one-out, and bootstrap are designed to reduce bias and variance in accuracy estimation from small samples.