Geometry-based distance for clustering amino acids
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Publication:5037106
DOI10.1080/02664763.2019.1673324OpenAlexW2977915699MaRDI QIDQ5037106
Samira F. Abushilah, Charles C. Taylor, Arief Gusnanto
Publication date: 25 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://eprints.whiterose.ac.uk/151789/7/amino8-nored.pdf
hierarchical clusteringsimilarity indicescircular distancesquared Euclidean distanceenergy statisticpermutation two-sample test
Uses Software
Cites Work
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- Energy statistics: a class of statistics based on distances
- An artificial immune system for clustering amino acids in the context of protein function classification
- Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
- Permutation, parametric and bootstrap tests of hypotheses.
- A new criterion and method for amino acid classification
- Statistics of Bivariate von Mises Distributions
- Methods of Multivariate Analysis
- Cluster Analysis
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