Data mining in situ gene expression patterns at cellular resolution

James Carson; Tao Ju; Christina Thaller; Joe Warren; Musodiq Bello; Ioannis Kakadiaris; Wah Chiu; Gregor Eichele

doi:10.1109/CSBW.2005.50

Data mining in situ gene expression patterns at cellular resolution

James Carson, Tao Ju, Christina Thaller, Joe Warren, Musodiq Bello, Ioannis Kakadiaris, Wah Chiu, Gregor Eichele

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages	141-142
Number of pages	2
DOIs	https://doi.org/10.1109/CSBW.2005.50
State	Published - 2005
Event	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States Duration: Aug 8 2005 → Aug 11 2005

Publication series

Name	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Conference

Conference	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/Territory	United States
City	Stanford, CA
Period	08/8/05 → 08/11/05

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10.1109/CSBW.2005.50

Cite this

Carson, J., Ju, T., Thaller, C., Warren, J., Bello, M., Kakadiaris, I., Chiu, W., & Eichele, G. (2005). Data mining in situ gene expression patterns at cellular resolution. In 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts (pp. 141-142). [1540575] (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts). https://doi.org/10.1109/CSBW.2005.50

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title = "Data mining in situ gene expression patterns at cellular resolution",

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.",

author = "James Carson and Tao Ju and Christina Thaller and Joe Warren and Musodiq Bello and Ioannis Kakadiaris and Wah Chiu and Gregor Eichele",

year = "2005",

doi = "10.1109/CSBW.2005.50",

language = "English",

isbn = "0769524427",

series = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts",

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Carson, J, Ju, T, Thaller, C, Warren, J, Bello, M, Kakadiaris, I, Chiu, W & Eichele, G 2005, Data mining in situ gene expression patterns at cellular resolution. in 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts., 1540575, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, pp. 141-142, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, Stanford, CA, United States, 08/8/05. https://doi.org/10.1109/CSBW.2005.50

Data mining in situ gene expression patterns at cellular resolution. / Carson, James; Ju, Tao; Thaller, Christina et al.

2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 2005. p. 141-142 1540575 (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ju, Tao

AU - Thaller, Christina

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AU - Bello, Musodiq

AU - Kakadiaris, Ioannis

AU - Chiu, Wah

AU - Eichele, Gregor

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AB - 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.

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BT - 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

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Carson J, Ju T, Thaller C, Warren J, Bello M, Kakadiaris I et al. Data mining in situ gene expression patterns at cellular resolution. In 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 2005. p. 141-142. 1540575. (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts). doi: 10.1109/CSBW.2005.50

Data mining in situ gene expression patterns at cellular resolution

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