Evidence map›Paper›PMID 42842049›Full record

ArticleBulletin of mathematical biology2026

A High Throughput and User-Friendly Computational Tool for Quantifying and Visualizing Symmetry Variation in Image Datasets.

Liam D O'Brien, Punit Gandhi, Maria-Veronica Ciocanel, Adriana T Dawes

Abstract read
PubMed Full text at PMC Publisher
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
–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

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

4 authors.

Liam D O'BrienDepartment of Mathematics, The Ohio State University, Columbus, OH, USA. obrien.1093@osu.edu.ORCID 0009-0007-3827-9771
Punit GandhiDepartment of Mathematics and Statistics, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8812-7724
Maria-Veronica CiocanelDepartment of Mathematics, Duke University, Durham, NC, USA.ORCID 0000-0001-6859-4659
Adriana T DawesDepartment of Mathematics, The Ohio State University, Columbus, OH, USA. dawes.33@math.ohio-state.edu.ORCID 0000-0001-6055-2868

Funding

Mathematical investigation of dynein-mediated centrosome positioning in polarized cellsR01GM132651 · NIGMS · OHIO STATE UNIVERSITY · PI DAWES, ADRIANA · 2019 to 2022
$1.4M
National Institutes of Health (NIH) R01GM132651NIGMS NIH HHS R01 GM132651
6 · The paper itself

Abstract

Symmetry is a fundamental property of biological systems, yet it is commonly reduced to discrete, subjective classifications that fail to capture the continuous and graded nature of symmetry in real organisms. We present a high-throughput, user-friendly computational framework for quantifying and visualizing biological symmetry as a continuous variable using transformation information (

Indexed as

Models, BiologicalAlgorithmsComputational BiologyComputer SimulationFlowersImage Processing, Computer-AssistedInformation TheoryMagnoliopsidaMathematical ConceptsPrincipal Component AnalysisApproximate symmetryAsymmetry quantificationFloral symmetryImage analysisSymmetry classificationTransformation information

Identifiers

PMID42842049
PMCPMC13645982

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.