Arbeitspapier
A Framework to Discover Emerging Patterns for Application in Microarray Data
Various supervised learning and gene selection methods have been used for cancer diagnosis. Most of these methods do not consider interactions between genes, although this might be interesting biologically and improve classification accuracy. Here we introduce a new CART-based method to discover emerging patterns. Emerging patterns are structures of the form (X1>a1)AND(X2
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Paper ; No. 313
- Thema
-
Emerging patterns
interactions between variables
classification trees
supervised learning
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Boulesteix, Anne-Laure
Tutz, Gerhard
- Ereignis
-
Veröffentlichung
- (wer)
-
Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
- (wo)
-
München
- (wann)
-
2003
- DOI
-
doi:10.5282/ubm/epub.1694
- Handle
- URN
-
urn:nbn:de:bvb:19-epub-1694-4
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Boulesteix, Anne-Laure
- Tutz, Gerhard
- Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
Entstanden
- 2003
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