Large scale mining of molecular fragments with wildcards

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Deutsch

Bibliographic citation: In: Intelligent Data Analysis ; 8 (2004), 5. - S. 495-504. - ISSN 1088-467X. - eISSN 1571-4128

Keyword: Arzneimittelentwicklung
Arzneimitteldesign

Event: Veröffentlichung

(where): Konstanz

(who): Bibliothek der Universität Konstanz

(when): 2008

Creator: Hofer, Heiko
Borgelt, Christian
Berthold, Michael

URN: urn:nbn:de:bsz:352-opus-65746

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:47 PM CET

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Hofer, Heiko
Borgelt, Christian
Berthold, Michael
Bibliothek der Universität Konstanz

Time of origin

2008

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Large scale mining of molecular fragments with wildcards

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Other Objects (12)

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Hybrid fragment mining with MoFA and FSG

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Dynamic Load Balancing for the Distributed Mining of Molecular Structures

Molecular Fragment Mining for Drug Discovery

A Hierarchical Distributed Approach for Mining Molecular Fragments

Advanced Pruning Strategies to Speed Up Mining Closed Molecular Fragments

Hybrid fragment mining with MoFA and FSG

Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

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Distributed Mining of Molecular Fragments

Efficient Mining of Discriminative Molecular Fragments

High Performance Subgraph Mining in Molecular Compounds

Data Mining - Daten suchen und finden?

Mining Molecular Fragments : Finding Relevant Substructures of Molecules

Dynamic Load Balancing for the Distributed Mining of Molecular Structures

Molecular Fragment Mining for Drug Discovery

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Advanced Pruning Strategies to Speed Up Mining Closed Molecular Fragments

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Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

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