ReviewBiochimica et biophysica acta. Gene regulatory mechanisms2020
Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.
Review in Biochimica et biophysica acta. Gene regulatory mechanisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05837988 (Construction of Symptom Network in Maintenance Hemodialysis Patients), which is not on this map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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.
Construction of Symptom Network in Maintenance Hemodialysis Patients
Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Network-based methods for psychometric data of eating disorders: A systematic review.PloS one · 2022Pooled it
- Laser Therapy Effects on Periodontal Status: A Randomized Study Using Gaussian Network Analysis and Structural Equation Modeling Approach.Medicina (Kaunas, Lithuania) · 2024Trial
- Network methods for diagonal integration of unpaired single-cell multiomics data: a review.Bioinformatics (Oxford, England) · 2026Review
- Review
- Multimodal bioinformatic analyses of genome-scale expression beyond gene-centric differential expression.Briefings in bioinformatics · 2026Review
- Differential Network-Based Dietary Structure and Type 2 Diabetes Risk: A Prospective Cohort Study Using Food Co-Consumption Networks.Nutrients · 2026Article
- Integration of high-throughput proteomic data and complementary omics layers with PriOmics.Genome research · 2026Article
- Clinically constrained Bayesian network analysis of immune-metabolic factors associated with bone mineral density in a real-world orthopedic cohort.Frontiers in surgery · 2026Article
- Psychometric Network Model Recovery: The Effect of Sample Size, Number of Items, and Number of Nodes.European journal of investigation in health, psychology and education · 2025Article
- Unveiling Dietary Complexity: A Scoping Review and Reporting Guidance for Network Analysis in Dietary Pattern Research.Nutrients · 2025Article
- Bayesian Graphical Models for Multiscale Inference in Medical Image-Based Joint Degeneration Analysis.Diagnostics (Basel, Switzerland) · 2025Review
- Burning Mouth Syndrome Underlying Factors: A Roadmap From a Network Perspective.Oral diseases · 2025Article
- The social-ecological model of depressive symptoms in middle aged in China: a network analysis.BMC public health · 2025Article
- A probabilistic modeling framework for genomic networks incorporating sample heterogeneity.Cell reports methods · 2025Article
- ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.Briefings in bioinformatics · 2024Article
- Depressive symptoms among rural left-behind children and adolescents in China: a large-scale cross-sectional study.BMC public health · 2024Article
- Spatial Cellular Networks from omics data with SpaCeNet.Genome research · 2024Article
- A broken network of susceptibility genes in the monocytes of Crohn's disease patients.Life science alliance · 2024Article
- Advances in methods for characterizing dietary patterns: A scoping review.medRxiv : the preprint server for health sciences · 2024Article
- Exploring the Early Molecular Pathogenesis of Osteoarthritis Using Differential Network Analysis of Human Synovial Fluid.Molecular & cellular proteomics : MCP · 2024Article
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
Gaussian Graphical Models (GGMs) are tools to infer dependencies between biological variables. Popular applications are the reconstruction of gene, protein, and metabolite association networks. GGMs are an exploratory research tool that can be useful to discover interesting relations between genes (functional clusters) or to identify therapeutically interesting genes, but do not necessarily infer a network in the mechanistic sense. Although GGMs are well investigated from a theoretical and applied perspective, important extensions are not well known within the biological community. GGMs assume, for instance, multivariate normal distributed data. If this assumption is violated Mixed Graphical Models (MGMs) can be the better choice. In this review, we provide the theoretical foundations of GGMs, present extensions such as MGMs or multi-class GGMs, and illustrate how those methods can provide insight in biological mechanisms. We summarize several applications and present user-friendly estimation software. This article is part of a Special Issue entitled: Transcriptional Profiles and Regulatory Gene Networks edited by Dr. Dr. Federico Manuel Giorgi and Dr. Shaun Mahony.
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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.