ReviewGigaScience2018
Bipartite graphs in systems biology and medicine: a survey of methods and applications.
Review in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 62 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
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Pooled it
- The evolving landscape of inflammation-related clinical trials: a 25-year registry-based network analysis from a clinical pharmacology perspective.Translational and clinical pharmacology · 2026Article
- A generative model for bipartite gene-sharing networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure.Computational and structural biotechnology journal · 2026Article
- scGALA advances graph link prediction-based cell alignment for comprehensive data integration and harmonization.Nature communications · 2025Article
- HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer's disease.Journal of translational medicine · 2025Article
- Identifying Communities in the Virus-Host Protein-Protein Interaction Networks.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024Review
- Variation in patient-sharing network characteristics of health care professionals treating different mental and substance use disorder patient sub-groups in primary care.The International journal of social psychiatry · 2024Article
- A comparison of content from across contemporary Australian population health surveys.Australian and New Zealand journal of public health · 2024Article
- Identification of New, Translatable ProtectomiRs against Myocardial Ischemia/Reperfusion Injury and Oxidative Stress: The Role of MMP/Biglycan Signaling Pathways.Antioxidants (Basel, Switzerland) · 2024Article
- Article
- Network topology mapping of chemical compounds space.Scientific reports · 2024Article
- Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs.Frontiers in bioinformatics · 2024Article
- The geography of technological innovation dynamics.Scientific reports · 2023Article
- Optimal Physician Shared-Patient Networks and the Diffusion of Medical Technologies.Journal of data science : JDS · 2023Article
- A Data-Mining Approach to Identify NF-kB-Responsive microRNAs in Tissues Involved in Inflammatory Processes: Potential Relevance in Age-Related Diseases.International journal of molecular sciences · 2023Article
- Inference of monopartite networks from bipartite systems with different link types.Scientific reports · 2023Article
- Mining and the sustainable development goals: Prioritizing SDG targets for proper environmental governance.Ambio · 2023Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The latest advances in high-throughput techniques during the past decade allowed the systems biology field to expand significantly. Today, the focus of biologists has shifted from the study of individual biological components to the study of complex biological systems and their dynamics at a larger scale. Through the discovery of novel bioentity relationships, researchers reveal new information about biological functions and processes. Graphs are widely used to represent bioentities such as proteins, genes, small molecules, ligands, and others such as nodes and their connections as edges within a network. In this review, special focus is given to the usability of bipartite graphs and their impact on the field of network biology and medicine. Furthermore, their topological properties and how these can be applied to certain biological case studies are discussed. Finally, available methodologies and software are presented, and useful insights on how bipartite graphs can shape the path toward the solution of challenging biological problems are provided.
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.