Cross-Domain Neurobiology Data Integration and Exploration

被引:0
|
作者
Xuan, Weijian [1 ,4 ]
Dai, Manhong [1 ]
Josh, Buckner [1 ]
Mirel, Barbara [4 ]
Song, Jean [3 ,4 ]
Athey, Brian [1 ,2 ,4 ]
Watson, Stanley J. [1 ]
Meng, Fan [1 ,4 ]
机构
[1] Univ Michigan, Dept Psychiat, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Educ, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Hlth Sci Lib, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Natl Ctr Integrat Biomed Informat, Ann Arbor, MI 48109 USA
关键词
Literature; High throughput; Anatomy; Mining; Web application; BIOMEDICAL LITERATURE; NETWORK; GENES;
D O I
10.1109/IJCBS.2009.92
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Understanding the biomedical implications of data from high throughput experiments requires solutions for effective cross-scale and cross-domain data exploration. Our work integrates molecular level data with high level biological functions using anatomical structure as a scaffold. The Flex-based PubAnatomy web application we developed enables highly interactive visual exploration of literature and experimental data for understanding the relationships between molecular level changes, pathways, brain circuits and pathophysiological processes. PubAnatomy also allows the sharing of intermediate data exploration results with other web applications, greatly increasing the power of cross-domain data exploration and mining. The prototype of PubAnatomy is freely accessible at: http://brainarray.mbni.med.umich.edu/Brainarray/prototype/PubAnatomy
引用
收藏
页码:37 / +
页数:2
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