Automated characterization of gene expression patterns with an atlas of the mouse brain

J. P. Carson; T. Ju; C. Thaller; J. Warren; M. Bello; I. Kakadiaris; W. Chiu; G. Eichele

Automated characterization of gene expression patterns with an atlas of the mouse brain

J. P. Carson, T. Ju, C. Thaller, J. Warren, M. Bello, I. Kakadiaris, W. Chiu, G. Eichele

Research output: Contribution to journal › Conference article › peer-review

Abstract

A spatio-temporal map of gene activity in the brain would be an important contribution to the understanding of brain development, disease, and function. Such a resource is now possible using high-throughput in situ hybridization, a method for transcriptome-wide acquisition of cellular resolution gene expression patterns in serial tissue sections. However, querying an ̂enormous quantity of image data requires computational methods for describing and organizing gene expression patterns in a consistent manner. In addressing this, we have developed procedures for automated annotation of gene expression patterns in the postnatal mouse brain.

Original language	English
Pages (from-to)	2917-2920
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26 IV
State	Published - 2004
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004

Keywords

Annotation
Brain atlas
Gene expression
Subdivision mesh

Cite this

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title = "Automated characterization of gene expression patterns with an atlas of the mouse brain",

abstract = "A spatio-temporal map of gene activity in the brain would be an important contribution to the understanding of brain development, disease, and function. Such a resource is now possible using high-throughput in situ hybridization, a method for transcriptome-wide acquisition of cellular resolution gene expression patterns in serial tissue sections. However, querying an{\^ }enormous quantity of image data requires computational methods for describing and organizing gene expression patterns in a consistent manner. In addressing this, we have developed procedures for automated annotation of gene expression patterns in the postnatal mouse brain.",

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language = "English",

volume = "26 IV",

pages = "2917--2920",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

note = "Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

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TY - JOUR

T1 - Automated characterization of gene expression patterns with an atlas of the mouse brain

AU - Carson, J. P.

AU - Ju, T.

AU - Thaller, C.

AU - Warren, J.

AU - Bello, M.

AU - Kakadiaris, I.

AU - Chiu, W.

AU - Eichele, G.

PY - 2004

Y1 - 2004

N2 - A spatio-temporal map of gene activity in the brain would be an important contribution to the understanding of brain development, disease, and function. Such a resource is now possible using high-throughput in situ hybridization, a method for transcriptome-wide acquisition of cellular resolution gene expression patterns in serial tissue sections. However, querying an ̂enormous quantity of image data requires computational methods for describing and organizing gene expression patterns in a consistent manner. In addressing this, we have developed procedures for automated annotation of gene expression patterns in the postnatal mouse brain.

AB - A spatio-temporal map of gene activity in the brain would be an important contribution to the understanding of brain development, disease, and function. Such a resource is now possible using high-throughput in situ hybridization, a method for transcriptome-wide acquisition of cellular resolution gene expression patterns in serial tissue sections. However, querying an ̂enormous quantity of image data requires computational methods for describing and organizing gene expression patterns in a consistent manner. In addressing this, we have developed procedures for automated annotation of gene expression patterns in the postnatal mouse brain.

KW - Annotation

KW - Brain atlas

KW - Gene expression

KW - Subdivision mesh

UR - http://www.scopus.com/inward/record.url?scp=11144313139&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:11144313139

SN - 0589-1019

VL - 26 IV

SP - 2917

EP - 2920

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Automated characterization of gene expression patterns with an atlas of the mouse brain

Abstract

Keywords

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