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Titlebook: New Frontiers in Mining Complex Patterns; 6th International Wo Annalisa Appice,Corrado Loglisci,Zbigniew W. Ras Conference proceedings 2018

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樓主: Cession
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發(fā)表于 2025-3-25 04:18:56 | 只看該作者
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發(fā)表于 2025-3-25 08:36:20 | 只看該作者
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發(fā)表于 2025-3-25 11:58:49 | 只看該作者
Jan Reubold,Ahcène Boubekki,Thorsten Strufe,Ulf Brefeldfinitions) have been proposed to describe the field of metabolomics. “Metabolic profile” was introduced by Horning and Horning (1971) to describe the quantitative measurement of metabolite concentrations in urine. “Metabolome” was proposed by Oliver et al. (1998) as referring to the complete set of
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發(fā)表于 2025-3-25 16:39:19 | 只看該作者
Bla? ?krlj,Jan Kralj,An?e Vavpeti?,Nada Lavra?s offers a mechanism of unwinding which is advantageous during transcription. For example, the formation of the hairpin G-quartet, and hairpin C.?C paired i-motif upstream of the insulin gene may facilitate transcription. These unusual DNA structures also provide unique “protein recognition motifs”
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發(fā)表于 2025-3-25 21:00:32 | 只看該作者
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發(fā)表于 2025-3-26 03:44:16 | 只看該作者
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發(fā)表于 2025-3-26 04:36:55 | 只看該作者
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering,ogeneous clusters, which are able to catch multiple roles of lncRNAs and diseases at different levels of granularity. Our experimental evaluation, performed on a heterogeneous network consisting of microRNAs, lncRNAs, diseases, genes and their known relationships, shows that the proposed method is a
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發(fā)表于 2025-3-26 09:45:36 | 只看該作者
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發(fā)表于 2025-3-26 13:17:11 | 只看該作者
A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks,cross-correlation function. Results indicate that the new method is superior in identifying networks whose structure correlates to the cognitive processes engaged during visual perception. The method is general enough to be applied on any data that describes dynamical interactions evolving on multip
30#
發(fā)表于 2025-3-26 19:44:01 | 只看該作者
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform,xtracted from the Web and exploits a classification model to distinguish between real app stores and similar pages (i.e. blogs, forums, etc.) which can be erroneously returned by a common search engine. An experimental evaluation on a real dataset confirms the validity of the approach in terms of ac
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