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
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.