In this paper, we propose a novel gene clustering method named TGmix through integrated analysis on two types of datasets, namely the time-series and twogroup microarray datasets. The goal of the proposed method is to discover genes as biomarkers that have similar expression profiles in time-series conditions and are also significantly differentially expressed in two-group conditions. We applied the proposed method to microarray datasets for rats wound healing experiment, and the genes discovered in the same cluster conform to the analysis goal with related biological functions.
['Vincent S. Tseng', 'Lien-Chin Chen', 'Yao-Dung Hsieh']
Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets