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Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation

  • Evangelia I. Zacharaki
  • Angeliki Skoura
  • Li An
  • Desmond J. Smith
  • Vasileios Megalooikonomou
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 382)

Abstract

The integration of gene expression datasets with gene function information provides valuable insights in unraveling the molecular mechanisms of the brain. In this paper, gene expression maps, acquired by the technique of voxelation, are analyzed using an atlas-based framework and the extracted spatial information is employed to organize genes in significant clusters. Moreover, gene function enrichment analysis of clusters enables exploring the relationships among brain regions, gene expressions and gene functions. Our work confirms the hypothesis that genes of similar spatial expression patterns display similar functions indicating that our methodology could assist in the functional identification of unannotated genes.

Keywords

kgene expression maps brain mapping voxelation gene function gene ontology 

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Evangelia I. Zacharaki
    • 1
  • Angeliki Skoura
    • 1
  • Li An
    • 2
  • Desmond J. Smith
    • 3
  • Vasileios Megalooikonomou
    • 1
    • 2
  1. 1.Department of Computer Engineering and InformaticsUniversity of PatrasPatrasGreece
  2. 2.Data Engineering Laboratory, Center for Data Analytics and Biomedical InformaticsTemple UniversityUSA
  3. 3.Department of Molecular and Medical Pharmacology, David Geffen School of MedicineUCLAUSA

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