Evidence map›Paper›PMID 42905278›Full record

ArticleBulletin of mathematical biology2026

Regularizing and Normalizing DAGs and Phylogenetic Networks.

Marc Hellmuth, Anna Lindeberg, Vincent Moulton

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Marc HellmuthFaculty of Mathematics and Computer Science, Leipzig University, 04109, Leipzig, Germany.ORCID https://orcid.org/0000-0002-1620-5508
Anna LindebergDepartment of Mathematics, Faculty of Science, Stockholm University, SE-10691, Stockholm, Sweden. anna.lindeberg@math.su.se.ORCID http://orcid.org/0000-0001-9664-1918
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.ORCID https://orcid.org/0000-0001-9371-6435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenetic networks and, more generally, directed acyclic graphs (DAGs) represent hierarchical structure beyond trees, for instance in the presence of reticulate evolutionary events such as hybridization or horizontal gene transfer. A central question is which parts of such graphs are essential with respect to leaf-observable information, and which parts can be removed without changing this information. Resolving this question can lead to principled simplification methods for phylogenetic networks, such as the recent normalization approach of Francis et al. In this paper, we study this question from three related perspectives: clusters displayed by a DAG G, least common ancestors (LCAs) of subsets of its leaf set, and visibility, a path-based property of vertices. We first introduce an LCA-based simplification procedure called i-regularization. For a DAG G and

Indexed as

Models, GeneticPhylogenyAlgorithmsCluster AnalysisEvolution, MolecularGene Transfer, HorizontalMathematical ConceptsClusterLeast common ancestorsNormal networkPhylogenetic networkRegular network

Identifiers

PMID42905278
PMCPMC13687143

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.