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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Carson, J.P. Ju, T. Thaller, C. Warren, J. Bello, M. Kakadiaris, I. Chiu, W. Eichele, G. |
| Copyright Year | 2004 |
| Description | Author affiliation: Graduate Program in Struct. & Comput. Biol. & Molecular Biophys., Nat. Center for Macromolecular Imaging, Houston, TX, USA (Carson, J.P.) |
| 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. |
| Starting Page | 2917 |
| Ending Page | 2920 |
| File Size | 1126877 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403829 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gene expression Mice Biology computing Pixel Computational biology Signal detection Image resolution Computer science Diseases Organizing subdivision mesh Brain atlas gene expression annotation |
| Content Type | Text |
| Resource Type | Article |
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