癌症研究的综合分析

2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2016-10-01 DOI:10.1109/BIBE.2016.63

Hsi-Yuan Huang, Chien-Yu Lin, Chin-An Yang, Cheng-Mao Ho, Ya-Sian Chang, Jan-Gowth Chang

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引用次数: 4

摘要

通过癌症基因组图谱(TCGA)，已经产生了大量的基因组和临床癌症数据。然而，这些数据集很难访问和解释。大多数现有的工具为所有癌症样本的多维基因组数据的探索、可视化和分析提供了资源。在此，我们对配对肿瘤和正常样本的DNA拷贝数、信使RNA和microRNA (miRNA)表达、DNA甲基化、蛋白质表达和临床特征进行了综合泛癌分析，以研究基因调控和基于表达的生存分析。临床研究人员有一个简单的方法来评估TCGA数据为他们的基因或感兴趣的候选生物标志物。

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An Integrative Analysis for Cancer Studies

Numerous genomic and clinical cancer data have been generated and available through The Cancer Genome Atlas (TCGA). However, these datasets are difficult to access and interpret. Most of the existing tools provide resources for exploring, visualizing, and analyzing multidimensional genomics data for all cancer samples. Here we present an integrative pan-cancer analysis of DNA copy number, messenger RNA and microRNA (miRNA) expression, DNA methylation, protein expression and clinical characteristics for studying gene regulation and expression based survival analysis in paired tumor and normal samples. Clinical researchers have a simple way to evaluate the TCGA data for their genes or candidate biomarkers of interest.

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2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)

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