2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) Stanford, California August 08-August 11 ISBN: 0-7695-2442-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.49
Non-radioactive in situ hybridization (ISH) is a powerful technique for revealing gene expression in individual cells, the level of detail necessary for investigating how genes control cell type identity, cell differentiation, and cell-cell signaling. Although the availability of robotic ISH enables the expeditious determination of expression patterns for thousands of genes in serially sectioned tissues, a large collection of ISH images is, per se, of limited benefit. However, via accurate detection of expression strength and spatial normalization of expression location across different specimens, ISH images become a minable resource of annotated gene expression capable of advancing functional genomics in a mode similar to DNA sequence databases. We have developed
Citation:
James Carson, Tao Ju, Christina Thaller, M. Bello, Joe Warren, Gregor Eichele, Wah Chiu, "Data Mining in situ Gene Expression Patterns at Cellular Resolution," csbw, pp.358, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||