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Due to evolutionary conservation of biology, experimental knowledge captured from genetic studies in eukaryotic model organisms provides insight into human cellular pathways and ultimately physiology. Yeast chemogenomic profiling is a powerful approach for annotating cellular responses to small molecules. Using an optimized platform, we provide the relative(More)
Translation initiation is an emerging target in oncology and neurobiology indications. Naturally derived and synthetic rocaglamide scaffolds have been used to interrogate this pathway; however, there is uncertainty regarding their precise mechanism(s) of action. We exploited the genetic tractability of yeast to define the primary effect of both a natural(More)
State-of-the-art hyperspectral sensors can make use of a growing number of spectral bands. A common issue in hyperspectral image classification is how to improve class-separability without incurring the curse of dimensionality. This problem has occupied various research communities, including statistics, pattern recognition, and data mining. Researchers all(More)
The advances of sensor technologies and the benefits of studying high dimensional spectral images make use of a growing number of spectral bands. High-dimensional remote sensing datasets obtained from multispectral, hyperspectral or even ultraspectral bands generally provide enormous spectral information for data analysis. It covers an abundance of(More)
Keywords: Oil spills SAR image Image segmentation Generalizes likelihood ratio test (GLRT) Constant false alarm ratio (CFAR) a b s t r a c t In the study, we propose a fast region-based method for the detection of oil spills in SAR images. The proposed method combines the image segmentation technique and conventional detection theory to improve the accuracy(More)
Identification of potential oil spills on Synthetic Aperture Radar (SAR) satellite images is a complex process. Oil companies, as well as the coast guard have tested a whole range of methods for monitoring and detection of possible oil spills. These methods are found to be expensive, complex and require high processing power and time. In this paper, an oil(More)
A novel adaptive signal subspace transformation for direction-of-arrival (DOA) estimation of wideband sources in the near-field is proposed in this paper. The method is composed of two transformations: signal subspace focusing (SSF) and far-field transformation (FFT). SSF aligns the signal sub-spaces for different frequencies in the bandwidth of the sources(More)