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 · 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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Has reproduction · 71
Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.
PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups
AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)
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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 · 8 claims · 8 setups
SEA and SEB treatment increases cell proliferation in AML cell lines
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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
m5C regulators are differentially expressed between AML and normal samples and correlate with AML prognosis
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Full-text index only
Seeded Bayesian Networks: constructing genetic networks from microarray data.
PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups
Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed