DocumentCode
2527822
Title
Data mining in situ gene expression patterns at cellular resolution
Author
Carson, James ; Ju, Tao ; Thaller, Christina ; Warren, Joe ; Bello, Musodiq ; Kakadiaris, Ioannis ; Chiu, Wah ; Eichele, Gregor
Author_Institution
Baylor Coll. of Med., Houston, TX, USA
fYear
2005
fDate
8-11 Aug. 2005
Firstpage
141
Lastpage
142
Abstract
In the post-genomic era, large-scale efforts have begun to characterize the role of gene products. Several of these efforts aim to systematically discover the activity of all ∼20,000 genes throughout functionally complex tissue specimens such as embryo and the mature brain. By applying a subdivision-based deformable model of the brain, we rapidly organize spatial gene expression data into a common coordinate system. Doing this enables powerful queries, comparisons, and associations of the data.
Keywords
biological tissues; biology computing; brain; cellular biophysics; data mining; genetics; molecular biophysics; cellular resolution; data mining; embryo; functionally complex tissue specimens; gene products; mature brain; spatial gene expression data; subdivision-based deformable model; Bioinformatics; Biomedical imaging; Conferences; Data mining; Educational institutions; Gene expression; Genomics; Mice; Robotics and automation; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.50
Filename
1540575
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