<P>Recent advances in genomic studies have stimulated synergistic research in many cross–disciplinary areas. Genomic data, especially the recent large–scale microarray gene expression data, present enormous challenges for signal processing and statistics, which has led to the development of the new field of Genomic Signal Processing (GSP). This workshop is the sixth in a series of international scientific meetings devoted to the area of GSP and its applications in biology and medicine. The workshop addresses the emerging need for demonstrating to the signal processing community the potential for using signal–processing and statistical tools to uncover complex biological phenomena. The scientific program will include invited talks, tutorials, contributed papers and poster presentations. Participants will have the opportunity to be exposed to the most recent developments in the field and meet colleagues from all around the world.</P><B>Keywords:</B> <UL> <LI>Signal processing and statistical approaches for functional genomics problems <LI>Statistical inference of biological networks from experimental data <LI>Pattern recognition methods for functional genomics <LI>Control theory and systems theory techniques for systems biology <LI>Models for cellular metabolism and intercellular signaling <LI>Modeling and simulation of biological regulatory networks <LI>Novel architectures and implementation methods for large–scale functional genomics <LI>High–throughput hardware and software approaches to genome–scale network modeling <LI>Integration of heterogeneous data <LI>Microarray image and data analysis <LI>Signal processing methods in sequence analysis <LI>Computational methods for modeling and simulation of biological regulatory networks </LI></UL>
Abbrevation
GENSIPS
City
Phoenix
Country
United States
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