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BACKGROUND Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination with methods for fluorescent tagging, is the most suitable current method for proteome-wide determination of subcellular location. Previous work has shown that neural network(More)
BACKGROUND On March 30, a novel influenza A subtype H7N9 virus (A/H7N9) was detected in patients with severe respiratory disease in eastern China. Virological factors associated with a poor clinical outcome for this virus remain unclear. We quantified the viral load and analysed antiviral resistance mutations in specimens from patients with A/H7N9. (More)
ACKNOWLEDGMENTS This project was made possible by many individuals who often worked overtime to obtain the results in a timely manner. At Indiana State University, Drs. Richard Hyde and Kamlesh Lulla were involved in the development of methods used in the analysis of remotely sensed data, with programming support from Nicholas Vesper and Norman Levine;(More)
In this paper, we introduce a new approach to fingerprint classification based on both singularities and traced pseudoridge analysis. Since noise exists in most of the fingerprint images including those in the NIST databases which are used by many researchers, it is difficult to get the correct number and position of the singulairities such as core or delta(More)
Quantitative microscopy has been extensively used in biomedical research and has provided significant insights into structure and dynamics at the cell and tissue level. The entire procedure of quantitative microscopy is comprised of specimen preparation, light absorption/reflection/emission from the specimen, microscope optical processing,(More)
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers to accurately predict subcellular location patterns by using numerical features calculated from manually cropped 2D single-cell images. We describe here results on directly(More)
This paper addresses a general class of capacity planning problems under uncertainty , which arises, for example, in semiconductor tool purchase planning. Using a scenario tree to model the evolution of the uncertainties, we develop a multi-stage stochastic integer programming formulation for the problem. In contrast to earlier two-stage approaches, the(More)
The central goal of proteomics is to clarify the mechanism by which each protein in a given cell type carries out its function. Automated protein subcellular location determination by fluorescence microscopy can play an important role in fulfilling this goal. The subcellular location of a protein is critical to understanding its function because each(More)