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Comparative Hierarchical Clustering Algorithms

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📌About Us

We are a drug discovery team with an interest in the development of publicly available open-source customizable cheminformatics tools to be used in computer-assisted drug discovery. We belong to the Laboratory of Bioactive Research and Development (LIDeB) of the National University of La Plata (UNLP), Argentina. Our research group is focused on computer-guided drug repurposing and rational discovery of new drug candidates to treat epilepsy and neglected tropical diseases.

💻Web Site https://lideb.biol.unlp.edu.ar


CHiCA WebApp

CHiCA implements a diversity of classic hierarchical agglomerative clustering approaches. CHiCA allows the user, by use of interactive graphs, an intuitive and visual choice of the number of clusters to consider.

If you are looking to contact us, please send a mail to [email protected] or contact us by Twitter (https://twitter.com/LIDeB_UNLP)

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Comparative Hierarchical Clustering Algorithms

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  • Python 100.0%