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Robert J. Tetley

dblp:261/3948 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-3322-6271ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational geometry
0.412020
EpiGraph: an open-source platform to quantify epithelial organization · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

polygon distribution analysis · 0.4graph theory · 0.4
YearPublicationVenuePosition
2020 EpiGraph: an open-source platform to quantify epithelial organization
abstract
SUMMARY: Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. AVAILABILITY AND IMPLEMENTATION: EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Pablo Vicente-Munuera, Pedro Gómez-Gálvez, Robert J. Tetley, Cristina Forja, Antonio Tagua, Marta Letrán, Melda Tozluoglu, Yanlan Mao, Luis M. Escudero
Bioinform.3