tcga数据库cvs
时间: 2023-11-21 10:53:57 浏览: 37
导出后如何处理?
根据提供的引用,可以使用shell脚本或node脚本来处理cvs文件。具体操作可以参考引用中的方案。在处理cvs文件时,需要注意文件格式的转换问题,可以使用相关工具进行转换。另外,引用中提到了一个问题,即当type为number时,excel打不开,可能需要将type改为string类型。
相关问题
TCGA数据库Xena
TCGA数据库Xena是一个基于TCGA和ICGC资源的数据库,可以通过无代码下载或使用UCSCXenaTools工具包下载数据。它提供了丰富的肿瘤研究数据,并且可以进行可视化分析。TCGA数据库Xena被称为"TCGA数据挖掘终结者",因为它提供了最详细的TCGA在线分析展示。此外,还有一些基于TCGA数据库衍生的其他数据库,包括综合性的可下载数据的数据库和一些专一性分析的数据库。通过RTCGAToolbox这个R语言工具包,您可以快速下载和分析您想要的数据。使用TCGA数据库Xena,您可以轻松地操作和利用自己的数据进行研究。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* *2* *3* [开启数据挖掘之门:TCGA数据库入门必看!](https://blog.csdn.net/weixin_32563347/article/details/118180221)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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TCGA数据库变量信息
The TCGA (The Cancer Genome Atlas) database contains a vast amount of information related to cancer genomics. Some of the key variables that are available in the TCGA database include:
1. Patient Information: This includes details about the patient's age, sex, race, and medical history.
2. Tumor Information: This includes details about the tumor's location, stage, grade, and histology.
3. Molecular Data: This includes information about the tumor's genomic profile, including mutations, copy number alterations, and gene expression levels.
4. Clinical Data: This includes information about the patient's treatment history, response to treatment, and overall survival.
5. Imaging Data: This includes radiological images of the tumor, such as CT scans and MRI scans.
6. Pathology Data: This includes information about the tumor's pathology, such as histological images and pathology reports.
7. Biospecimen Data: This includes information about the biological samples collected from the patient, such as blood, tissue, and urine samples.
Overall, the TCGA database provides researchers with a wealth of information that can be used to better understand the molecular basis of cancer and develop new treatments for the disease.
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