Design a Novel Method to Cluster Data Based on an Angular Randomization Test

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dc.contributor.authorBaneen Hussein Abd Zaid
dc.contributor.authorAbeer Ali Naji
dc.contributor.authorKawthar Hataf Fazaa
dc.contributor.authorAhmed Jebur Ali
dc.date.accessioned2024-09-03T12:57:29Z
dc.date.available2024-09-03T12:57:29Z
dc.date.issued2024-04-01
dc.description.abstractCluster 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.
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/9403
dc.language.isoen
dc.publisherDeanship of Research/ Al-Quds University
dc.titleDesign a Novel Method to Cluster Data Based on an Angular Randomization Test
dc.typeArticle
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