Microarray Image Analysis and Gene Expression Ratio Statistics Chapter

abstract

• 2006 Springer Science+Business Media, Inc. All rights reserved. 4. Conclusions: Various image analysis issues have been addressed: target segmentation, background detection, target detection, and intensity measurement. Since microarray technology is still under development and image quality varies considerably, a robust and precise image analysis algorithm that reduces background interference and extracts precise signal intensity and expression ratios for each gene is critical to the success of further statistical analysis. The overall methodology discussed in this chapter has been developed and enhanced through five years of experience working with cDNA microarray images. It continues to be expanded and revised as new issues arise.

authors

• Dougherty, Edward

author list (cited authors)

• Chen, Y., Dougherty, E. R., Bittner, M. L., Meltzer, P., & Trent, J.

citation count

• 1

complete list of authors

• Chen, Yidong||Dougherty, Edward R||Bittner, Michael L||Meltzer, Paul||Trent, Jeffery

Book Title

• Computational and Statistical Approaches to Genomics

publication date

• January 2006

publisher

• Springer Nature  Publisher

keywords

• Bioengineering
• Genetics

Digital Object Identifier (DOI)

• 10.1007/0-387-26288-1_1

International Standard Book Number (ISBN) 10

• 0387262873

International Standard Book Number (ISBN) 13

• 9780387262871

start page

• 1

end page

• 19

volume

• 9780387262871

URL

• http%3A%2F%2Fdx.doi.org%2F10.1007%2F0-387-26288-1_1