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).
-
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.
-
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 · 7 claims · 7 setups
AML patients can be categorized into two distinct PANRG-based clusters with differing prognosis and immune characteristics
-
Full-text index only
Backseat drivers take the wheel.
PMID 18068625 · PMC2705833 · Cancer cell · 2007 · 8 claims · 8 setups
Systematic resequencing combined with functional validation can distinguish rare driver FLT3 mutations from passenger mutations in AML patients negative for known activating mutations
-
Full-text index only
In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.
PMID 17201911 · PMC1774567 · BMC genomics · 2007 · 8 claims · 5 setups
A computational EST-based pipeline can identify UTR-SNPs that are statistically over-represented in cancerous versus normal tissue libraries