Learn More
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)
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)
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)
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)
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)
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)
Erythropoietin (EPO) activates many distinct signal transduction cascades on engagement of its receptor. Deletion of the EPO, EPO receptor (EPO-R), or JAK2 genes in mice results in embryonic lethality due to a fatal anemia. EPO activates signal transducer and activator of transcription 1 (STAT1), STAT3, and STAT5a/b transcription factors in erythroid cell(More)
Gene-specific targeting of the Sin3 corepressor complex by DNA-bound repressors is an important mechanism of gene silencing in eukaryotes. The Sin3 corepressor specifically associates with a diverse group of transcriptional repressors, including members of the Mad family, that play crucial roles in development. The NMR structure of the complex formed by the(More)
In this paper, we propose an electrocardiogram (ECG) pattern classification method for 12-lead ECG using Semi-supervised Discriminant Analysis (SDA). The feature of 12-lead ECG signal is firstly extracted by wavelet transformation (WT). SDA is used to find a projection which projects the WT feature space into low dimension feature space for ECG pattern(More)