Genornic signal processing: The salient issues Academic Article

abstract

• This paper considers key issues in the emerging field of genomic signal processing and its relationship to functional genomics. It focuses on some of the biological mechanisms driving the development of genomic signal processing, in addition to their manifestation in gene-expression-based classification and genetic network modeling. Certain problems are inherent. For instance, small-sample error estimation, variable selection, and model complexity are important issues for both phenotype classification and expression prediction used in network inference. A long-term goal is to develop intervention strategies to drive network behavior, which is briefly discussed. It is hoped that this nontechnical paper demonstrates that the field of signal processing has the potential to impact and help drive genomics research.

authors

• Dougherty, Edward

published proceedings

• EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING

author list (cited authors)

• Dougherty, E. R., Shmulevich, I., & Bittner, M. L.

citation count

• 12

complete list of authors

• Dougherty, ER||Shmulevich, I||Bittner, ML

publication date

• December 2004

publisher

• Springer Nature  Publisher

published in

• n1110-8657ISSN  Journal

keywords

• Functional Genomics
• Gene Network
• Genomic Signal Processing
• Genomics
• Microarray

Digital Object Identifier (DOI)

• 10.1155/S1110865704310097

start page

• 146

end page

• 153

volume

• 2004

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1155%2Fs1110865704310097