CADENCE: Clustering Algorithm─Density-Based Exploration and Novelty Clustering with Efficiency

Unsupervised learning techniques play a pivotal role in unraveling protein folding landscapes, constructing Markov State Models, expediting replica exchange simulations, and discerning drug binding patterns, among other applications. A fundamental challenge in current clustering methods lies in how...

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Vydané v:	Journal of chemical information and modeling Ročník 65; číslo 13; s. 6968
Hlavní autori:	Chen, Lexin, Roe, Daniel R, Miranda-Quintana, Ramón Alain
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 14.07.2025
Predmet:	Algorithms Cluster Analysis Clustering Algorithms Molecular Dynamics Simulation Proteins - chemistry Software
ISSN:	1549-960X, 1549-960X
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