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2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
Data Mining in situ Gene Expression Patterns at Cellular Resolution
Stanford, California
August 08-August 11
ISBN: 0-7695-2442-7
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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