期刊
NEURAL NETWORKS
卷 24, 期 9, 页码 933-942出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2011.06.012
关键词
Neuroinformatics; Molecular neuroanatomy; Correlation search; Gene expression; Tph2
资金
- Allen Institute for Brain Science
- National Institute of Drug Abuse [4R33DA027644]
- Allen Institute for Brain Science founders
The mammalian brain is best understood as a multi-scale hierarchical neural system, in the sense that connection and function occur on multiple scales from micro to macro. Modern genomic-scale expression profiling can provide insight into methodologies that elucidate this architecture. We present a methodology for understanding the relationship of gene expression and neuroanatomy based on correlation between gene expression profiles across tissue samples. A resulting tool, NeuroBlast, can identify networks of genes co-expressed within or across neuroanatomic structures. The method applies to any data modality that can be mapped with sufficient spatial resolution, and provides a computation technique to elucidate neuroanatomy via patterns of gene expression on spatial and temporal scales. In addition, from the perspective of spatial location, we discuss a complementary technique that identifies gene classes that contribute to defining anatomic patterns. (C) 2011 Elsevier Ltd. All rights reserved.
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