title: A new sparse simplex model for brain anatomical and genetic network analysis.
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.
authors.affiliation: Computer Science and Engineering, University of Texas at Arlington, TX, USA.
authors.forename: Heng
authors.initials: H
authors.lastname: Huang
authors.affiliation: Radiology and Imaging Sciences, Indiana University School of Medicine, IN, USA.
authors.forename: Jiingwen
authors.initials: J
authors.lastname: Yan
authors.affiliation: Computer Science and Engineering, University of Texas at Arlington, TX, USA.
authors.forename: Feiping
authors.initials: F
authors.lastname: Nie
authors.affiliation: Computer Science and Engineering, University of Texas at Arlington, TX, USA.
authors.forename: Jin
authors.initials: J
authors.lastname: Huang
authors.affiliation: BMIT Research Group, School of IT, University of Sydney, Australia.
authors.forename: Weidong
authors.initials: W
authors.lastname: Cai
authors.affiliation: Radiology and Imaging Sciences, Indiana University School of Medicine, IN, USA.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Saykin
authors.affiliation: Radiology and Imaging Sciences, Indiana University School of Medicine, IN, USA.
authors.forename: Li
authors.initials: L
authors.lastname: Shen
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D051379:Mice; D008953:Models, Anatomic; D008957:Models, Genetic; D008959:Models, Neurological; D009419:Nerve Tissue Proteins / Q000502:physiology*; D015398:Signal Transduction / Q000502:physiology; D014018:Tissue Distribution
chemical_list: D009419:Nerve Tissue Proteins