Avtor/Urednik		Slavkov, Ivica; Džeroski, Sašo; Peterlin, Borut; Lovrečić, Luca
Naslov		Analysis of Huntington's disease gene expressionm profiles with predictive clustering trees
Tip		članek
Vir		Inform Med Slov
Vol. in št.		Letnik 11, št. 2
Leto izdaje		2006
Obseg		str. 43-51
Jezik		eng
Abstrakt		In this paper we analyzed microarray data of patients with Huntington's disease (HD). First, we preprocessed the data by using ribosomal genes expression levels as a way of normalization. After this, Predictive Clustering Trees (PCTs) were used to identify useful gene expression profiles and also to connect patient records with gene expression levels. In the end patients' pathological characteristics which created the biggest difference in gene expression levels were identified, but also genes that could serve as a way of differentiating between patients and control subjects, or presymptomatic and symptomatic patients
Deskriptorji		HUNTINGTON'S DISEASE GENE EXPRESSION DECISION TREES CLUSTER ANALYSIS