Evidence map›Paper›PMID 27796722›Full record

ArticleBulletin of mathematical biology2016

Product-Form Stationary Distributions for Deficiency Zero Networks with Non-mass Action Kinetics.

David F Anderson, Simon L Cotter

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Solving moment hierarchies for chemical reaction networks.Journal of physics. A, Mathematical and theoretical · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

David F AndersonDepartment of Mathematics, University of Wisconsin, Madison, WI, USA.
Simon L CotterDepartment of Mathematics, University of Manchester, Manchester, UK. simon.cotter@manchester.ac.uk.ORCID 0000-0001-5974-7393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many applications, for example when computing statistics of fast subsystems in a multiscale setting, we wish to find the stationary distributions of systems of continuous-time Markov chains. Here we present a class of models that appears naturally in certain averaging approaches whose stationary distributions can be computed explicitly. In particular, we study continuous-time Markov chain models for biochemical interaction systems with non-mass action kinetics whose network satisfies a certain constraint. Analogous with previous related results, the distributions can be written in product form.

Indexed as

Models, BiologicalAlgorithmsBiochemical PhenomenaKineticsMarkov ChainsMathematical ConceptsProtein MultimerizationStochastic ProcessesConstrained averagingDeficiency zeroProduct-form stationary distributionsStochastically modeled reaction network

Identifiers

PMID27796722
PMCPMC5104833

What OpenQuestion holds

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Registered trials

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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.