应用数据挖掘技术利用基因组数据识别癌症亚型

Tejal Upadhyay, Samir B. Patel
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引用次数: 1

摘要

这篇文章是关于基因组结构的研究和从它识别癌症类型。它分为六个部分。第一部分是关于癌症的介绍,癌症的类型,癌症是如何产生的,等等。第二部分是关于基因组研究以及癌症是如何与之相关的,研究中使用了哪些特征。第三部分是关于作者用来研究这些基因组结构的软件,使用了哪些数据集,以及这项研究的最终输出是什么。第四部分给出了本文提出的算法。第五部分展示了数据的预处理和聚类。使用了不同的预处理和聚类算法。第六部分给出了研究结果和结论,并对未来进行了展望。本文使用的基因组学数据来自免费提供的癌症基因组图谱数据门户网站。一些应用的插值技术填补了缺失的值,提取了重要的特征。在基因组数据集上应用不同的聚类算法并生成结果。
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Identifying Subtypes of Cancer Using Genomic Data by Applying Data Mining Techniques
This article is about the study of genomics structures and identifying cancer types from it. It divides into six parts. The first part is about the introduction of cancer, types of cancers, how cancer arises, etc. The second part is about the genomic study and how cancer is related to that, which features are used for the study. The third part is about the software which the authors have used to study these genomic structures, which data sets are used, and what is the final output for this study. The fourth part shows the proposed algorithm for the study. The fifth part shows the data preprocessing and clustering. Different preprocessing and clustering algorithms are used. The sixth part shows the results and conclusion with a future scope. The genomics data which is used by this article is taken from the Cancer Genome Atlas data portal which is freely available. Some applied imputation techniques fill up for the missing values and important features are extracted. Different clustering algorithms are applied on genome dataset and results are generated.
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