Shuffle & untangle: novel untangle methods for solving the tanglegram layout problem
Bioinformatics Advances, ISSN: 2635-0041, Vol: 2, Issue: 1, Page: vbac014
2022
- 2Citations
- 4Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- Captures4
- Readers4
- Mentions1
- News Mentions1
- 1
Most Recent News
Norwegian University of Science and Technology (NTNU) Reports Findings in Bioinformatics (Shuffle & untangle: novel untangle methods for solving the tanglegram layout problem)
2023 FEB 08 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- New research on Biotechnology - Bioinformatics is the subject
Article Description
Motivation: A tanglegram is a plot of two-tree-like diagrams, one facing the other, and having their labels connected by inter-tree edges. These two trees, which could be both phylogenetic trees and dendrograms stemming from hierarchical clusterings, have thus identically labelled leaves but different topologies. As a result, the inter-tree edges of a tanglegram can be intricately tangled and difficult to be analysed and explained by human readers. To better visualize the tanglegram (and thus compare the two dendrograms) one may try to untangle it, i.e. search for that series of flippings of the various branches of the two trees that minimizes the number of crossings among the inter-tree edges. The untanglement problem has received significant interest in the past decade, and several techniques have been proposed to address it. These techniques are computationally efficient but tend to fail at finding the global optimum configuration generating the least tangly tanglegram. Results: We leverage the existing results to propose untanglement methods that are characterized by an overall slower convergence method than the ones in the literature, but that produce tanglegrams with lower entanglements.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85147695680&origin=inward; http://dx.doi.org/10.1093/bioadv/vbac014; http://www.ncbi.nlm.nih.gov/pubmed/36699369; https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbac014/6539778; https://dx.doi.org/10.1093/bioadv/vbac014; https://academic.oup.com/bioinformaticsadvances/article/2/1/vbac014/6539778
Oxford University Press (OUP)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know