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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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Autores principales: Glory, Estelle, Newberg, Justin, Murphy, Robert F.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2008
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Acceso en línea: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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