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).

• Integrative analysis of RUNX1 downstream pathways and target genes.

  PMID 18671852 · PMC2529319 · BMC genomics · 2008 · 7 claims · 8 setups

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  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

  lymphoblastic hela runx1 aml cdna microarray affymetrix

• 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

  Has reproduction · 71

  AML patients can be categorized into two distinct PANRG-based clusters with differing prognosis and immune characteristics

  aml leukemia bulk consensus immune

• Independent component analysis reveals new and biologically significant structures in micro array data.

  PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups

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  ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone

  acute serum-stimulated head aml microarray clust term

• Genomic data sampling and its effect on classification performance assessment.

  PMID 12553886 · PMC149349 · BMC bioinformatics · 2003 · 8 claims · 3 setups

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  Cross-validation, leave-one-out, and bootstrap are designed to reduce bias and variance in accuracy estimation from small samples.

  leukemia srbct splice-junction supervised

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

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  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

  leukemia interactome pubmed-indexed computational microarray yeast literature

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  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.

  peripheral pbmc datasets hg-u133 gene bulk machine

• An integrative genomic and epigenomic approach for the study of transcriptional regulation.

  PMID 18365023 · PMC2266992 · PloS one · 2008 · 8 claims · 7 setups

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  Integrative analysis combining gene expression, DNA methylation, and H3K9 acetylation data reveals hundreds of additional differentially expressed genes missed by gene expression arrays alone

  aml computational help chip-chip gene

• Recurring mutations found by sequencing an acute myeloid leukemia genome.

  PMID 19657110 · PMC3201812 · The New England journal of medicine · 2009 · 8 claims · 8 setups

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  Deep paired tumor/normal whole-genome sequencing of a cytogenetically normal AML-M1 genome identified 12 somatic coding (tier 1) mutations and 52 somatic tier 2 (conserved/regulatory) mutations.

  aml-m1 tumor bone additional whole-genome snp gene-expression

• 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

  Has reproduction · 88

  SEA and SEB treatment increases proliferation of AML cell lines.

  aml cancer proliferation cytotoxicity transwell

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray