Research issues in genomic signal processing Academic Article

abstract

• Some of the significant research issues related with genomic signal processing (GSP) needed for overcoming challenges to develop multimodal biomedical systems are discussed. GSP is used to analyze, process, and use genomic signals to gain biological knowledge and converting that knowledge into developing system-based applications. Two of the significant goals of functional GSP include, using genomic signals to classify disease on a molecular level and screening genes that determine specific cellular phenotypes, and model their activity in such a way that that normal and abnormal behavior can be differentiated. These goals correspond to diagonizing the presence or type of disease and developing therapies, based on the disruption or control of aberrant gene function, contributing to the pathology of a disease. Nonlinear dynamical networks are also synthesized and analyzed to characterize gene regulation and designing diagnostic strategies to develop therapeutic tools.

authors

• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• IEEE SIGNAL PROCESSING MAGAZINE

author list (cited authors)

• Dougherty, E. R., Datta, A., & Sima, C.

citation count

• 45

complete list of authors

• Dougherty, ER||Datta, A||Sima, C

publication date

• November 2005

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Signal Processing Magazine  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• Biotechnology
• Genetics
• Human Genome

Digital Object Identifier (DOI)

• 10.1109/MSP.2005.1550189

start page

• 46

end page

• 68

volume

• 22

issue

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fmsp.2005.1550189