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 · 93
5-methylcytosine RNA modification regulators-based patterns and features of immune microenvironment in acute myeloid leukemia.
PMID 38277218 · PMC10911375 · Aging · 2024 · 8 claims · 8 setups
Most of the 17 m5C regulators are differentially expressed between AML and normal samples and correlate with AML prognosis.
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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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Has reproduction · 73
treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses.
PMID 34001188 · PMC8127214 · Genome biology · 2021 · 7 claims · 7 setups
treeclimbR proposes multiple candidate resolutions on a hierarchical tree and selects the optimal one in a data-driven way to pinpoint signal branches/leaves of interest.
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Has reproduction · 88
Enterotoxins A and B produced by Staphylococcus aureus increase cell proliferation, invasion and cytarabine resistance in acute myeloid leukemia cell lines.
PMID 37810000 · PMC10559070 · Heliyon · 2023 · 7 claims · 7 setups
SEA and SEB treatment increases proliferation of AML cell lines.
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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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Full-text index only
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