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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Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering
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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.
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Has reproduction · 50
Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials.
PMID 39090192 · PMC11294346 · NPJ precision oncology · 2024 · 7 claims · 6 setups
A 5-gene ADE-Resistance Score (ADE-RS5), derived via LASSO regression from 67 pharmacologically relevant genes, predicts MRD positivity, EFS and OS in pediatric AML.
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DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome.
PMID 18987736 · PMC2603574 · Nature · 2008 · 8 claims · 8 setups
Whole genome sequencing can identify unbiased, novel somatic mutations in a cytogenetically normal AML genome that would not have been found by candidate-gene resequencing.