Author/Editor     Slavkov, Ivica; Džeroski, Sašo; Peterlin, Borut; Lovrečić, Luca
Title     Analysis of Huntington's disease gene expressionm profiles with predictive clustering trees
Type     članek
Source     Inform Med Slov
Vol. and No.     Letnik 11, št. 2
Publication year     2006
Volume     str. 43-51
Language     eng
Abstract     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
Descriptors     HUNTINGTON'S DISEASE
GENE EXPRESSION
DECISION TREES
CLUSTER ANALYSIS