Biclustering-based association rule mining approach for predicting cancer-associated protein interactions (Englisch)
Freier Zugriff
- Neue Suche nach: Dey, Lopamudra
- Neue Suche nach: Mukhopadhyay, Anirban
- Neue Suche nach: Dey, Lopamudra
- Neue Suche nach: Mukhopadhyay, Anirban
In:
IET Systems Biology
;
13
, 5
;
234-242
;
2019
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Biclustering-based association rule mining approach for predicting cancer-associated protein interactions
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Beteiligte:Dey, Lopamudra ( Autor:in ) / Mukhopadhyay, Anirban ( Autor:in )
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Erschienen in:IET Systems Biology ; 13, 5 ; 234-242
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:02.08.2019
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:pattern clustering , proteins , cancer-related protein interaction databases , human proteins , cancer , cancer-associated protein interactions , protein–protein interactions , genetics , annotation type , PPI database , cancer disease , cancer-associated proteins , data mining , cancer research , biclustering-based association rule mining approach , cancer-related diseases , negative data set , biological processes , medical computing
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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