Tumor Classification Problem 肿瘤分类问题
International Histology Classification of Tumor 国际肿瘤组织学分类
tumor marker classification 肿瘤标志物分类
malignant tumor tnm classification 恶性肿瘤的TNM分期
Classification Of Tumor Type 分类肿瘤类型
classification of tumor marker 肿瘤标记物分类
ObjectivesIn the present study,we evaluated most commonly employed discriminant methods and explored their features and application in order to improve accuracy for tumor/tissue classification. We then incorporated prior biological knowledge into tumor classification to improve accuracy for tumor/tissue classification.
目的选择合适的特征基因,比较不同方法在基因表达数据肿瘤分类中的优劣;在肿瘤基因表达数据中加入先验信息,提高肿瘤分类准确性;结合已知的生物学功能,提高基因表达聚类分析的准确性和解释性。
参考来源 - 基因表达数据在肿瘤诊断、基因功能预测中的应用研究The meaning and development of tumor subtype classification, taking acuteleukemia (AL) and diffuse large B-cell lymphoma (DLBCL) for example. Relevant knowledge of gene chips and application in tumor classification.
分析基因芯片的相关知识及其在癌症分型方向上的应用。
参考来源 - 基于基因表达数据的癌症分型方法This paper introduces a semi-supervised graph-based method for tumor classification. Feature extraction plays a key role in tumor classification based on gene expression profiles, and can greatly improve the performance of a classifier.
我们首先将基于图的半监督方法引入到肿瘤分类中,采用基于图的半监督学习算法对抽取的主成分特征进行分类性能评估。
参考来源 - 基于图的半监督学习和维数约简方法及其应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Experimental results show that the proposed method can obtain better recognition rates in tumor classification and only 54 feature genes in the feature set.
实验结果表明，该算法对肿瘤分型具有良好的识别率，且特征集合中仅包含54个特征基因。
To study the clinical and histopathological classification of eyelid tumor.
目的探讨眼睑肿块的临床及病理学分类。
Histopathology can confirmed tumor malignancy, tissue origin and classification.
组织学检查能确定肿瘤的性质、组织起源与分类。
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