ArticleFrontiers in physiology2018
Gene Expression Is Not Random: Scaling, Long-Range Cross-Dependence, and Fractal Characteristics of Gene Regulatory Networks.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Functional diversity and specialization decoded: Implications for complex particle systems, NeuroAI, and hybrid human-AI ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Scaling laws for function diversity and specialization across socioeconomic and biological complex systems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Topological Environment in Genetic and Metabolic Networks.bioRxiv : the preprint server for biology · 2026Article
- CENTRA: knowledge-based gene contextuality graphs reveal functional master regulators by centrality and fractality.NAR genomics and bioinformatics · 2025Article
- Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics.PNAS nexus · 2025Article
- IsJournal of developmental biology · 2025Review
- Taylor's Power Law rules the dynamics of allele frequencies during viral evolution in response to host changes.Journal of the Royal Society, Interface · 2025Article
- Target controllability: a feed-forward greedy algorithm in complex networks, meeting Kalman's rank condition.Bioinformatics (Oxford, England) · 2024Article
- Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Topological analysis of interaction patterns in cancer-specific gene regulatory network: persistent homology approach.Scientific reports · 2021Article
- A mathematical modelling framework for the regulation of intra-cellular OCT4 in human pluripotent stem cells.PloS one · 2021Article
- Binary Expression Enhances Reliability of Messaging in Gene Networks.Entropy (Basel, Switzerland) · 2020Article
- Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells.Frontiers in physiology · 2020Article
- Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives.Frontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression is a vital process through which cells react to the environment and express functional behavior. Understanding the dynamics of gene expression could prove crucial in unraveling the physical complexities involved in this process. Specifically, understanding the coherent complex structure of transcriptional dynamics is the goal of numerous computational studies aiming to study and finally control cellular processes. Here, we report the scaling properties of gene expression time series in
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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.