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Gene Expression Data Analysis Using Closed Itemset Mining for Labeled Data

This article presents an approach to microarray data analysis using discretised expression values in combination with a methodology of closed itemset mining for class labeled data (RelSets). A statistical 2 × 2 factorial design analysis was run in parallel. The approach was validated on two independ...

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Dettagli Bibliografici
Autori principali: Rotter, Ana, Novak, Petra Kralj, Baebler, Špela, Toplak, Nataša, Blejec, Andrej, Lavrač, Nada, Gruden, Kristina
Natura: Artigo
Lingua:Inglês
Pubblicazione: Mary Ann Liebert, Inc. 2010
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3116449/
https://ncbi.nlm.nih.gov/pubmed/20210654
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/omi.2009.0126
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