Analysis of Multiplex Gene Expression Maps Obtained by Voxelation

Background: Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelation in combination with microarrays for acquisition of genome-wide atlases of expression patterns in the mouse brain. On the other hand, some work has been performed on studying gene functions, without taking into account the location information of a gene's expression in a mouse brain. In this paper, we present an approach for identifying the relation between gene expression maps obtained by voxelation and gene functions. Results: To analyze the dataset, we chose typical genes as queries and aimed at discovering similar gene groups. Gene similarity was determined by using the wavelet features extracted from the left and right hemispheres averaged gene expression maps, and by the Euclidean distance between each pair of feature vectors. We also performed a multiple clustering approach on the gene expression...

• Type: Conference
• Year: 2008
• Where: BIBM
• Authors: Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, Desmond J. Smith, Vasileios Megalooikonomou
• Keywords: BIBM 2008, Bioinformatics, Gene, Gene Expression, Gene Functions