Data Mining in situ Gene Expression Patterns at Cellular Resolution

Stanford, California August 08-August 11

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http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.50

2005 IEEE Computational Systems Bioin ...

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	ASCII Text	x
	James Carson, Christina Thaller, Musodiq Bello, Wah Chiu, Tao Ju, Joe Warren, Ioannis Kakadiaris, Gregor Eichele, "Data Mining in situ Gene Expression Patterns at Cellular Resolution," 2005 IEEE Computational Systems Bioinformatics Conference - Workshops, pp. 141-142, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005.

	BibTex	x
	@article{ 10.1109/CSBW.2005.50, author = {James Carson and Christina Thaller and Musodiq Bello and Wah Chiu and Tao Ju and Joe Warren and Ioannis Kakadiaris and Gregor Eichele}, title = {Data Mining in situ Gene Expression Patterns at Cellular Resolution}, journal ={2005 IEEE Computational Systems Bioinformatics Conference - Workshops}, volume = {0}, year = {2005}, isbn = {0-7695-2442-7}, pages = {141-142}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.50}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops TI - Data Mining in situ Gene Expression Patterns at Cellular Resolution SN - 0-7695-2442-7 SP141 EP142 A1 - James Carson, A1 - Christina Thaller, A1 - Musodiq Bello, A1 - Wah Chiu, A1 - Tao Ju, A1 - Joe Warren, A1 - Ioannis Kakadiaris, A1 - Gregor Eichele, PY - 2005 KW - null VL - 0 JA - 2005 IEEE Computational Systems Bioinformatics Conference - Workshops ER -

James Carson, Baylor College of Medicine,

Christina Thaller, Baylor College of Medicine

Musodiq Bello, The University of Houston

Wah Chiu, Baylor College of Medicine

Tao Ju, Rice University

Joe Warren, Rice University

Ioannis Kakadiaris, The University of Houston

Gregor Eichele, Baylor College of Medicine

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.

Citation:

James Carson, Christina Thaller, Musodiq Bello, Wah Chiu, Tao Ju, Joe Warren, Ioannis Kakadiaris, Gregor Eichele, "Data Mining in situ Gene Expression Patterns at Cellular Resolution," csbw, pp.141-142, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005

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