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首页> 外文期刊>Journal of Clinical Bioinformatics >PROGgene: gene expression based survival analysis web application for multiple cancers
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PROGgene: gene expression based survival analysis web application for multiple cancers

机译：PROGgene：基于基因表达的多种癌症生存分析网络应用

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Background Identification of prognostic mRNA biomarkers has been done for various cancer types. The data that are published from such studies are archived in public repositories. There are hundreds of such datasets available for multiple cancer types in public repositories. Wealth of such data can be utilized to study prognostic implications of mRNA in different cancers as well as in different populations or subtypes of same cancer. Description We have created a web application that can be used for studying prognostic implications of mRNA biomarkers in a variety of cancers. We have compiled data from public repositories such as GEO, EBI Array Express and The Cancer Genome Atlas for creating this tool. With 64 patient series from 18 cancer types in our database, this tool provides the most comprehensive resource available for survival analysis to date. The tool is called PROGgene and it is available at http://www.compbio.iupui.edu/proggene webcite. Conclusions We present this tool as a hypothesis generation tool for researchers to identify potential prognostic mRNA biomarkers to follow up with further research. For this reason, we have kept the web application very simple and straightforward. We believe this tool will be useful in accelerating biomarker discovery in cancer and quickly providing results that may indicate disease-specific prognostic value of specific biomarkers.
机译：背景技术已经对多种癌症类型进行了预后性mRNA生物标志物的鉴定。从此类研究中发布的数据存储在公共存储库中。公共存储库中有数百种可用于多种癌症类型的数据集。此类数据的丰富性可用于研究mRNA在不同癌症以及同一癌症的不同人群或亚型中的预后意义。描述我们创建了一个网络应用程序，可用于研究mRNA生物标志物在多种癌症中的预后意义。我们已经从诸如GEO，EBI Array Express和The Cancer Genome Atlas等公共资源库中收集了数据，以创建此工具。我们的数据库中有来自18种癌症的64个患者系列，此工具提供了迄今为止最全面的资源，可用于生存分析。该工具称为PROGgene，可从http://www.compbio.iupui.edu/proggene网站获取。结论我们将这个工具作为假设生成工具，供研究人员识别潜在的预后mRNA生物标志物，以进行进一步的研究。因此，我们使Web应用程序非常简单明了。我们相信该工具将​​有助于加速癌症中生物标志物的发现，并迅速提供可能表明特定生物标志物的疾病特异性预后价值的结果。

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