A new sparse simplex model for brain anatomical and genetic network analysis.

Heng Huang, Jiingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew Saykin, Li Shen

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

The Allen Brain Atlas (ABA) database provides comprehensive 3D atlas of gene expression in the adult mouse brain for studying the spatial expression patterns in the mammalian central nervous system. It is computationally challenging to construct the accurate anatomical and genetic networks using the ABA 4D data. In this paper, we propose a novel sparse simplex model to accurately construct the brain anatomical and genetic networks, which are important to reveal the brain spatial expression patterns. Our new approach addresses the shift-invariant and parameter tuning problems, which are notorious in the existing network analysis methods, such that the proposed model is more suitable for solving practical biomedical problems. We validate our new model using the 4D ABA data, and the network construction results show the superior performance of the proposed sparse simplex model.

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages625-632
Number of pages8
Volume16
EditionPt 2
StatePublished - 2013

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Anatomic Models
Genetic Models
Atlases
Brain
Central Nervous System
Databases
Gene Expression

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Huang, H., Yan, J., Nie, F., Huang, J., Cai, W., Saykin, A., & Shen, L. (2013). A new sparse simplex model for brain anatomical and genetic network analysis. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 2 ed., Vol. 16, pp. 625-632)

A new sparse simplex model for brain anatomical and genetic network analysis. / Huang, Heng; Yan, Jiingwen; Nie, Feiping; Huang, Jin; Cai, Weidong; Saykin, Andrew; Shen, Li.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 16 Pt 2. ed. 2013. p. 625-632.

Research output: Chapter in Book/Report/Conference proceedingChapter

Huang, H, Yan, J, Nie, F, Huang, J, Cai, W, Saykin, A & Shen, L 2013, A new sparse simplex model for brain anatomical and genetic network analysis. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 edn, vol. 16, pp. 625-632.
Huang H, Yan J, Nie F, Huang J, Cai W, Saykin A et al. A new sparse simplex model for brain anatomical and genetic network analysis. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 ed. Vol. 16. 2013. p. 625-632
Huang, Heng ; Yan, Jiingwen ; Nie, Feiping ; Huang, Jin ; Cai, Weidong ; Saykin, Andrew ; Shen, Li. / A new sparse simplex model for brain anatomical and genetic network analysis. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 16 Pt 2. ed. 2013. pp. 625-632
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