PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Application of closed itemset mining for class labeled data in functional genomics
Petra Kralj, Ana Grubesic, Kristina Gruden, Nada Lavrac and Gemma Casas-Garriga
Informatica Medica Slovenica Number 1, pp. 40-45, 2006. ISSN 1318-2129


This paper applies a recently introduced methodology of closed itemset mining for class labeled data to potato microarray data. The study shows the discovered rules that best distinguish between virus resistant and virus sensitive transgenic potato lines. The discovered rules are interpretable and meaningful to domain experts.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:2347
Deposited By:Petra Kralj
Deposited On:22 November 2006