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Cancer classification ensemble system based on gene expression profiles

机译:基于基因表达谱的癌症分类集成系统

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Cancer classification based on molecular level investigation has gained the interest of researches as it provides a systematic, accurate and objective diagnosis for different cancer types. It has also been applied in a wide range of applications such as drug discovery, cancer prediction and diagnosis which is a very important issue for cancer treatment. Besides, it helps in understanding the function of genes and the interaction between genes in normal and abnormal conditions. In this paper, an effective cancer classification ensemble system is proposed. Ensemble classifiers increase not only the performance of the classification, but also the confidence of the results.
机译:基于分子水平研究的癌症分类吸引了研究的兴趣,因为它为不同类型的癌症提供了系统,准确和客观的诊断方法。它也已被广泛应用,例如药物发现,癌症预测和诊断,这对于癌症治疗是非常重要的问题。此外,它有助于理解基因在正常和异常条件下的功能以及基因之间的相互作用。本文提出了一种有效的癌症分类集成系统。集成分类器不仅可以提高分类的性能,还可以提高结果的置信度。

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