Genomic signal processing: Diagnosis and therapy Academic Article

abstract

• Genomic signal processing (GSP) is the engineering discipline that studies the processing of genomic signals. Its aim is to integrate the theory and methods of signal processing with the global understanding of genomics. This discipline encompasses some methodologies related to signal profiles, including detection, prediction, classification, control, and statistical and dynamical modeling of gene networks. By way of examples, it is illustrated how pattern recognition and network analysis are critical to diagnosis and therapy for genetic diseases such as cancer.

authors

• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• IEEE SIGNAL PROCESSING MAGAZINE

author list (cited authors)

• Dougherty, E. R., & Datta, A.

citation count

• 27

complete list of authors

• Dougherty, ER||Datta, A

publication date

• January 2005

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Signal Processing Magazine  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• 4603 Computer Vision And Multimedia Computation
• Biotechnology
• Genetics
• Human Genome

Digital Object Identifier (DOI)

• 10.1109/MSP.2005.1407722

start page

• 107

end page

• 112

volume

• 22

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fmsp.2005.1407722