SynthesisGenome biology2008
Boolean implication networks derived from large scale, whole genome microarray datasets.
Synthesis in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
74 citing papers in PubMed.
- Catestatin restores cardiac metabolic flexibility and enhances mitochondrial function.Communications biology · 2026Article
- AI guided discovery of a murine model of asymptomatic Alzheimer's disease.Acta neuropathologica communications · 2026Article
- Patient-derived tumor explant models of tumor immune microenvironment reveal distinct and reproducible immunotherapy responses.Oncoimmunology · 2025Article
- CANDiT: A machine learning framework for differentiation therapy in colorectal cancer.Cell reports. Medicine · 2025Article
- Boolean Network Modeling Identifies Cognitive Resilience in the First Murine Model of Asymptomatic Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Human skeletal development and regeneration are shaped by functional diversity of stem cells across skeletal sites.Cell stem cell · 2025Article
- Human-specific elimination of epithelial Siglec-XII suppresses the risk of inflammation-driven colorectal cancers.JCI insight · 2024Article
- Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management.BJC reports · 2024Review
- C1QA is an invariant biomarker for tissue macrophages.bioRxiv : the preprint server for biology · 2024Article
- Measuring cancer driving force of chromosomal aberrations through multi-layer Boolean implication networks.PloS one · 2024Article
- Macrophage states: there's a method in the madness.Trends in immunology · 2023Review
- Identification of a novel gene signature for neuroblastoma differentiation using a Boolean implication network.Genes, chromosomes & cancer · 2023Article
- Artificial intelligence-guided discovery of gastric cancer continuum.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023Article
- Review
- AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas.JCI insight · 2022Article
- Boolean implication analysis of single-cell data predicts retinal cell type markers.BMC bioinformatics · 2022Article
- MAB21L4 Deficiency Drives Squamous Cell Carcinoma via Activation of RET.Cancer research · 2022Article
- An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease.Nature communications · 2022Article
- Artificial intelligence-rationalized balanced PPARα/γ dual agonism resets dysregulated macrophage processes in inflammatory bowel disease.Communications biology · 2022Article
- CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We describe a method for extracting Boolean implications (if-then relationships) in very large amounts of gene expression microarray data. A meta-analysis of data from thousands of microarrays for humans, mice, and fruit flies finds millions of implication relationships between genes that would be missed by other methods. These relationships capture gender differences, tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three species.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.