Junjie Su

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With the advent of high-throughput technologies for measuring genome-wide expression profiles, a large number of methods have been proposed for discovering diagnostic markers that can accurately discriminate between different classes of a disease. However, factors such as the small sample size of typical clinical data, the inherent noise in high-throughput(More)
BACKGROUND Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical data, high noise in gene expression measurements, and the heterogeneity across patients. In fact, gene markers identified in independent studies often do not coincide with each(More)
Temperature variation in microprocessors is a workload dependent problem. In such a design, the clock skew should be minimized with respect to temperature variation. Existing work has studied clock tree embedding perturbation considering time variant temperature variation. There is no existing method that can reduce skew variation. This paper develops an(More)
Due to the inherent measurement noise in microarray experiments , heterogeneity across samples, and limited sample size, it is often hard to find reliable gene markers for classification. For this reason, several studies proposed to analyze the expression data at the level of groups of functionally related genes such as pathways. One practical problem of(More)
Monitoring certain features of a structure over time and evaluating these features to determine the health of a structure is referred to as Structural Health Monitoring (SHM). SHiMmer, a solar-powered wireless SHM system, monitors a structure, processes the results, and transmits the data to an external device. In this paper, we examine the components of(More)
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