Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Clustering of chemical databases has tremendous significance in the process of compound selection, virtual screening and in the drug designing and discovery process as a whole. Traditionally, hierarchical methods like Ward’s and Group Average (Gave) and nonhierarchical methods like Jarvis Patrickâ...
Główni autorzy: | , |
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Format: | Conference or Workshop Item |
Język: | English |
Wydane: |
2006
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Hasła przedmiotowe: | |
Dostęp online: | http://eprints.utm.my/3060/1/Clustering_of_Chemical_Compounds_using.pdf |