ArticleInterface focus2025
Genetic network structure and dynamics: identifying simple negative feedback loops.
Article in Interface focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Genetic network structure and dynamics: identifying simple negative feedback loops.Interface focus · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A broad array of experimental techniques have been used to determine the interactions between genes that regulate key cellular processes such as differentiation, metabolism and the cell cycle. The experimental studies are often complemented by development of models of varying degrees of complexity. We consider the 'inverse problem': to determine the underlying interactions based solely on the observed dynamics. In earlier work, we considered a specific class of ordinary differential equations that are continuous analogues of a Boolean switching network. We developed techniques to analyse and classify the dynamics based on their logical structure. We also developed techniques to solve the inverse problem. In the current work, we extend these earlier methods to analyse a model equation for a genetic network proposed by Cummins and colleagues. For a
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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.