tailieunhanh - Báo cáo hóa học: " Department of Electrical Engineering, Columbia "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Department of Electrical Engineering, Columbia | EURASIP Journal on Applied Signal Processing 2004 1 3-4 2004 Hindawi Publishing Corporation Editorial Xiaodong Wang Department of Electrical Engineering Columbia University New York NY 10027 USA Email wangx@ Edward R. Dougherty Department of Electrical Engineering Texas A M University 3128 TAMU College Station TX 77843-3128 USA Email e-dougherty@ Yidong Chen National Human Genome Research Institute National Institutes of Health Bethesda MD 20892 USA Email yidong@ Carsten O. Peterson Department of Theoretical Physics Lund University Solvegatan 14A SE-22362 Lund Sweden Email carsten@ The advent of new methods to obtain large-scale surveys of gene expression in which transcript levels can be determined for thousands of genes simultaneously has facilitated the expansion of biological understanding from the analysis of individual genes to the analysis of systems of genes and proteins . This change characterizes the movement into the era of functional genomics. Central to this movement is an appreciation of the gene s role in cellular activity as it functions in the context of larger molecular networks. Two salient goals of functional genomics are to screen for key genes and gene combinations that explain specific cellular phenotypes . disease on a mechanistic level and to use genomic signals to classify disease on a molecular level. Signals generated by the genome must be processed to characterize their regulatory effects and their relationship to changes at both the genotypic and phenotypic levels. Since transcriptional and posttranscriptional control involves the processing of numerous and different kinds of signals mathematical and computational methods are required to model the multivariate influences on decision-making in complex genetic networks. Historically it has been within the domain of signal processing where such methodologies have been extensively studied and developed in particular estimation classification

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