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AUTOMATED COMPARISON OF PROTEIN SUBCELLULAR LOCATION PATTERNS BETWEEN IMAGES OF NORMAL AND CANCEROUS TISSUES
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automatically compares the subcellular location of proteins between normal and cancerous tissues in order to identify proteins...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2901901/ https://ncbi.nlm.nih.gov/pubmed/20628549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2008.4540993 |
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