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Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a fullunderstanding of its function. Fluorescence microscopy, in combination with methods for fluore...
The ongoing biotechnology revolution promises a complete understanding of the mechanisms by whichcells and tissues carry out their functions. Central to that goal is the determination of the function ...
The overall object of proteomics is to characterize all of the proteins expressed in a given cell type. With the rapiddevelopment of random gene tagging technology and high resolution fluorescence mic...
The ongoing biotechnology revolution promises a complete understanding of the mechanisms by which cells and tissues carry out their functions. Central to that goal is the determination of the functi...
Knowing the subcellular location of a protein is critical to a full understanding of its function, and automated, objective methods for assigning locations are needed as part of the characterizatio...
We describe the Protein Subcellular Location Image Database (PSLID), which collects and structures 2-D through 5-D fluorescence microscope images, annotations, and derived features in a relational ...
A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells.
There is extensive interest in automating the collection, organization and analysis of biological data. Data in the form of images present special challenges for such efforts. Since fluorescence mi...

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