Design a Novel Method to Cluster Data Based on an Angular Randomization Test
Date
2024-04-01
Authors
Baneen Hussein Abd Zaid
Abeer Ali Naji
Kawthar Hataf Fazaa
Ahmed Jebur Ali
Journal Title
Journal ISSN
Volume Title
Publisher
Deanship of Research/ Al-Quds University
Abstract
Cluster analysis of amino acids poses a difficult task in the field of predicting protein function and structure. This research proposes a novel method that focuses on using the p-value obtained from an angular randomization test that evaluates the similarity of dihedral-angle distributions as the main measure for clustering.