ReviewNature reviews. Genetics2009
Stochastic modelling for quantitative description of heterogeneous biological systems.
Review in Nature reviews. Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 201 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.
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.
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Who cites it
201 citing papers in PubMed.
- Truncating the time-evolving discrete chemical master equation for stochastic biological networks.Biophysical journal · 2026Article
- Bayesian inference of gene regulatory networks at stochastic steady state.Journal of the Royal Society, Interface · 2026Article
- Mixed positive and negative feedback loops drive diverse single-cell gene expression dynamics.Nature communications · 2026Article
- Numerical simulation of mitochondrial systems for ATP generation and membrane transport.Scientific reports · 2026Article
- Patient-specific modeling of G2/M cell cycle dynamics reveals prognostic dynamical regimes driven by copy number alterations.NPJ systems biology and applications · 2026Article
- A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data.PLoS computational biology · 2026Article
- Bayesian Inference of Gene Regulatory Networks at Stochastic Steady State.bioRxiv : the preprint server for biology · 2026Article
- Therapeutic targeting of oligodendrocytes in an agent-based model of multiple sclerosis.PLoS computational biology · 2026Article
- Stochastic Nature of Fascia: From Layered Pedagogical Artifact to Morphogenetic Reality in Clinical Anatomy.Life (Basel, Switzerland) · 2025Article
- The constrained disorder principle emphasizes the importance of variability boundaries for systems to function effectively.Journal of medicine and life · 2025Article
- Cortex folding by combined progenitor expansion and adhesion-controlled neuronal migration.Nature communications · 2025Article
- From genes to patterns: five key dynamical systems concepts to decode developmental regulatory mechanisms.Development (Cambridge, England) · 2025Review
- Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expression.Physical biology · 2025Review
- Bayesian classification of OXPHOS deficient skeletal myofibres.PLoS computational biology · 2025Article
- Data-driven model discovery and model selection for noisy biological systems.PLoS computational biology · 2025Article
- Article
- Computational Synthetic Biology Enabled through JAX: A Showcase.ACS synthetic biology · 2024Article
- Transcriptional bursting: from fundamentals to novel insights.Biochemical Society transactions · 2024Review
- Impact of Resistance on Therapeutic Design: A Moran Model of Cancer Growth.Bulletin of mathematical biology · 2024Article
- Towards early diagnosis of Alzheimer's disease: advances in immune-related blood biomarkers and computational approaches.Frontiers in immunology · 2024Review
141 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
Abstract
Two related developments are currently changing traditional approaches to computational systems biology modelling. First, stochastic models are being used increasingly in preference to deterministic models to describe biochemical network dynamics at the single-cell level. Second, sophisticated statistical methods and algorithms are being used to fit both deterministic and stochastic models to time course and other experimental data. Both frameworks are needed to adequately describe observed noise, variability and heterogeneity of biological systems over a range of scales of biological organization.
Indexed as
Identifiers
19139763What 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.