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首页> 外文期刊>International Journal of Healthcare Technology and Management >In-silico dissection of tumours and its application in the identification of the tissue of origin of cancers of unknown primary site
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In-silico dissection of tumours and its application in the identification of the tissue of origin of cancers of unknown primary site

机译:肿瘤的硅科解剖及其在鉴定原发灶未知的癌症起源组织中的应用

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摘要

We have used TCLASS~R a multi-class tumour classifier that interprets gene expression microarray data and allows the identification of the primary site of CUPs. The classifier is implemented as a web-based tool and is an extremely simple and straightforward approach for molecular characterisation of tumour samples. We randomly selected 100 metastatic cancer samples from the large Expression Project for Oncology and show an accuracy of TCLASS of 88% on these samples. We conclude that TCLASS is a user friendly tool that will allow the molecular characterisation of tumour samples of unknown origin analysed with Affymetrix U133 Plus 2.0 GerieChips.
机译:我们已经使用TCLASS〜R来解释基因表达微阵列数据并允许识别CUP的主要位点的多类肿瘤分类器。分类器是基于Web的工具,是一种非常简单明了的肿瘤样本分子表征方法。我们从大型肿瘤表达计划中随机选择了100个转移性癌症样品,这些样品显示TCLASS的准确性为88%。我们得出的结论是,TCLASS是一种用户友好的工具,可以使用Affymetrix U133 Plus 2.0 GerieChips对未知来源的肿瘤样品进行分子表征。

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