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Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
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 l...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2004
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC449699/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15207009/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/1471-2105-5-78 |
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