ArticleMolecular systems biology2007
Computational analysis of the synergy among multiple interacting genes.
Article in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
69 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transferring entropy to the realm of GxG interactions.Briefings in bioinformatics · 2018Pooled it
- Developmental synergistic information.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Computational Systems Biology Approaches to Cellular Aging - Integrating Network Maps and Dynamical Models.Quantitative biology (Beijing, China) · 2025Article
- Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Unique Information Through the Lens of Channel Ordering: An Introduction and Review.Entropy (Basel, Switzerland) · 2025Review
- Review on GPU accelerated methods for genome-wide SNP-SNP interactions.Molecular genetics and genomics : MGG · 2024Review
- Improved quality metrics for association and reproducibility in chromatin accessibility data using mutual information.BMC bioinformatics · 2023Article
- Discriminative pattern discovery for the characterization of different network populations.Bioinformatics (Oxford, England) · 2023Article
- Epigenome-wide three-way interaction study identifies a complex pattern between TRIM27, KIAA0226, and smoking associated with overall survival of early-stage NSCLC.Molecular oncology · 2022Article
- MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes.Biology · 2021Article
- Optimized permutation testing for information theoretic measures of multi-gene interactions.BMC bioinformatics · 2021Article
- Memorizing environmental signals through feedback and feedforward loops.Current opinion in cell biology · 2021Review
- Genome-Scale Screening and Combinatorial Optimization of Gene Overexpression Targets to Improve Cadmium Tolerance inFrontiers in microbiology · 2021Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- The effects of proliferation status and cell cycle phase on the responses of single cells to chemotherapy.Molecular biology of the cell · 2020Article
- Generalised Measures of Multivariate Information Content.Entropy (Basel, Switzerland) · 2020Article
- Discovering genetic interactions bridging pathways in genome-wide association studies.Nature communications · 2019Article
- Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts.Scientific reports · 2019Article
- Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application.BMC genomics · 2018Article
- A fast approach to detect gene-gene synergy.Scientific reports · 2017Article
9 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diseases such as cancer are often related to collaborative effects involving interactions of multiple genes within complex pathways, or to combinations of multiple SNPs. To understand the structure of such mechanisms, it is helpful to analyze genes in terms of the purely cooperative, as opposed to independent, nature of their contributions towards a phenotype. Here, we present an information-theoretic analysis that provides a quantitative measure of the multivariate synergy and decomposes sets of genes into submodules each of which contains synergistically interacting genes. When the resulting computational tools are used for the analysis of gene expression or SNP data, this systems-based methodology provides insight into the biological mechanisms responsible for disease.
Indexed as
Identifiers
What OpenQuestion holds
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.