Computational neuroanatomy and co-expression of genes in the adult mouse brain, analysis tools for the Allen Brain Atlas

被引：0
作者：
Pascal Grange [1 ]
Michael Hawrylycz [2 ]
Partha PMitra [1 ]
机构：
[1] Cold Spring Harbor Laboratory, Cold Spring Harbor
[2] Allen Institute for Brain Science
来源：
Quantitative Biology | 2013年 / 1卷 / 01期
关键词：
D O I：
暂无
中图分类号：
Q427 [高级神经活动];
学科分类号：
071006 ;
摘要：
We review quantitative methods and software developed to analyze genome-scale, brain-wide spatiallymapped gene-expression data. We expose new methods based on the underlying high-dimensional geometry of voxel space and gene space, and on simulations of the distribution of co-expression networks of a given size. We apply them to the Allen Atlas of the adult mouse brain, and to the coexpression network of a set of genes related to nicotine addiction retrieved from the NicSNP database.The computational methods are implemented in BrainGeneExpressionAnalysis(BGEA), a Matlab toolbox available for download.
引用
收藏
页码：91 / 100
页数：10
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