Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2004-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/5/78 |