Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Genotype-image phenotype studies in neuroscience

Genotype-image phenotype studies in neuroscience Neuroinformatics © Copyright 2006 by Humana Press Inc. All rights of any nature whatsoever are reserved. 1539-2791/06/1–4/$30.00 (Online) 1559-0089 DOI: 10.1385/NI:4:1:1 Editorial Stephen T. C . Wong Functional and Molecular Imaging Center, Brigham & Women’s Hospital, and HCNR Center for Bioinformatics, Harvard Medical School, Boston, Massachusetts, USA Imaging and genetic approaches have been to schizophrenia” Tyrone Cannon and col- predominant in the investigation of neurologi- leagues at UCLA and the National Public Health cal disorders and neuropsychiatric illnesses Institute of Finland reported sophisticated for decades, but the development of these methodologies to represent population vari- approaches are mostly decoupling from each ability in neural traits and to probe their heri- other. An emerging trend of neuroinformatics table and molecular genetic bases. Using brain research is to link and correlate biomedical imag- imaging in the context of three dimensional, ing phenotypes with functional genetic varia- population-based, and statistical brain atlases, tions in order to better understand the complex they described a set of algorithms that were biological mechanisms and molecular pathways developed to map the heritability of, as well as of neural diseases. This special issue of Neuro- genetic linkage and association to, brain fea- informatics is thus timely in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

Genotype-image phenotype studies in neuroscience

Neuroinformatics , Volume 4 (1) – Apr 11, 2007

Loading next page...
 
/lp/springer-journals/genotype-image-phenotype-studies-in-neuroscience-Gw9LR32mX7
Publisher
Springer Journals
Copyright
Copyright © 2006 by Humana Press Inc
Subject
Chemistry; Biotechnology; Engineering, general; Neurology
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1385/NI:4:1:1
Publisher site
See Article on Publisher Site

Abstract

Neuroinformatics © Copyright 2006 by Humana Press Inc. All rights of any nature whatsoever are reserved. 1539-2791/06/1–4/$30.00 (Online) 1559-0089 DOI: 10.1385/NI:4:1:1 Editorial Stephen T. C . Wong Functional and Molecular Imaging Center, Brigham & Women’s Hospital, and HCNR Center for Bioinformatics, Harvard Medical School, Boston, Massachusetts, USA Imaging and genetic approaches have been to schizophrenia” Tyrone Cannon and col- predominant in the investigation of neurologi- leagues at UCLA and the National Public Health cal disorders and neuropsychiatric illnesses Institute of Finland reported sophisticated for decades, but the development of these methodologies to represent population vari- approaches are mostly decoupling from each ability in neural traits and to probe their heri- other. An emerging trend of neuroinformatics table and molecular genetic bases. Using brain research is to link and correlate biomedical imag- imaging in the context of three dimensional, ing phenotypes with functional genetic varia- population-based, and statistical brain atlases, tions in order to better understand the complex they described a set of algorithms that were biological mechanisms and molecular pathways developed to map the heritability of, as well as of neural diseases. This special issue of Neuro- genetic linkage and association to, brain fea- informatics is thus timely in

Journal

NeuroinformaticsSpringer Journals

Published: Apr 11, 2007

There are no references for this article.