Evidence map›Paper›PMID 28578452›Full record

ArticleJournal of mathematical biology2018

Multilevel mutation-selection systems and set-valued duals.

Donald A Dawson

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Donald A DawsonSchool of Mathematics and Statistics, Carleton University, Ottawa, K1S 5B6, Canada. ddawson@math.carleton.ca.

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada NSERC Discovery Grant RGPIN 7750-2013
6 · The paper itself

Abstract

A class of measure-valued processes which model multilevel multitype populations undergoing mutation, selection, genetic drift and spatial migration is considered. We investigate the qualitative behaviour of models with multilevel selection and the interaction between the different levels of selection. The basic tools in our analysis include the martingale problem formulation for measure-valued processes and a generalization of the function-valued and set-valued dual representations introduced in Dawson-Greven (Spatial Fleming-Viot models with selection and mutation. Lecture notes in mathematics, vol 2092. Springer, Cham, 2014). The dual is a powerful tool for the analysis of the long-time behaviour of these processes and the study of evolutionary systems which model phenomena including altruism, the emergence of cooperation and more complex interactions.

Indexed as

Models, GeneticMutationSelection, GeneticAnimalsBiological EvolutionComputational BiologyGenetic DriftGenetics, PopulationHumansMarkov ChainsMathematical ConceptsNonlinear DynamicsPopulation DynamicsStochastic ProcessesMultilevel measure-valued processMultilevel selectionSet-valued dual

Identifiers

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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.