L1_IntroGSP - ECEN 689 Statistical Computation in GSP

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Unformatted text preview: ECEN 689 Statistical Computation in GSP http://www.ece.tamu.edu/~ulisses/ECEN689/ Lecture 1: Introduction to Genomic Signal Processing Ulisses Braga-Neto Genomic Signal Processing Laboratory Department of Electrical and Computer Engineering Texas A&M University Predictive mathematical models are necessary to move biology in the direction of a predictive science. They are also necessary to the application of engineering methods to translate biological knowledge into therapies with a mathematical and computational basis. From Chen, J. et al. Grand Challenges for Multimodal Bio-Medical Systems , IEEE Circuits and Systems Magazine , Spring Quarter, 46-52, 2005.. Challenge of Modern Medicine Organs Cells Molecules Predictive mathematical models are necessary to move biology in the direction of a predictive science. They are also necessary to the application of engineering methods to translate biological knowledge into therapies with a mathematical and computational basis. From Chen, J. et al. Grand Challenges for Multimodal Bio-Medical Systems , IEEE Circuits and Systems Magazine , Spring Quarter, 46-52, 2005.. Challenge of Modern Medicine Organs Cells Molecules Personalized Medicine Nano-aspirate/biopsy Analyze Compute Custom drug manufacture Nano scale chemistry lab Enhanced disease management From: New England Journal of Medicine, Trent, Dougherty, et.al. The Genomic Revolution Spurred by technological breakthroughs in Molecular Biology in the last 20 years: DNA amplification (e.g., PCR). DNA sequencing of whole genomes (e.g., shotgun sequencing). Functional Genomics: Precipitated by the development of gene-expression microarray technology a little more than 10 years ago....
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L1_IntroGSP - ECEN 689 Statistical Computation in GSP

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