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Toward an Improved Clustering of Large Data Sets Using Maximum Common Substructures and Topological Fingerprints
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What this work says
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Status of HTS Data Mining Approaches
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Self-organized formation of topologically correct feature maps
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A Hierarchical Clustering Approach for Large Compound Libraries
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Database Clustering with a Combination of Fingerprint and Maximum Common Substructure Methods
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A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition
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Representing Clusters Using a Maximum Common Edge Substructure Algorithm Applied to Reduced Graphs and Molecular Graphs
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Algorithm5: A Technique for Fuzzy Similarity Clustering of Chemical Inventories
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Cheminformatics
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ChemInform Abstract: Toward an Improved Clustering of Large Data Sets Using Maximum Common Substructures and Tolological Fingerprints.
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Additional file 1 of Reaction rebalancing: a novel approach to curating reaction databases
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Additional file 2 of Reaction rebalancing: a novel approach to curating reaction databases
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