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Cholesteryl Ester Transfer Protein (CETP) as a Drug Target for Cardiovascular Disease

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rdr.ucl.ac.uk2021-07-30 更新2025-01-21 收录
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https://rdr.ucl.ac.uk/articles/dataset/Cholesteryl_Ester_Transfer_Protein_CETP_as_a_Drug_Target_for_Cardiovascular_Disease/13686247/3
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Contains data and computer scripts to generate the figures underlying the manuscript: Cholesteryl Ester Transfer Protein (CETP) as a Drug Target for Cardiovascular Disease.The README.md:# Scripts and deposited data This directory contains R and python scripts along with the data necessary to generate the results described in the manuscript: 'cholesteryl ester transferprotein (CETP) as a drug target for cardiovascular disease'. ## Directory content .├── README.md├── scripts├── figures├── MR_data├── TRIAL_data└── PICKLED_dataThe `scripts` directory contains the computer codes necessary to generate the figures which get saved to the `figures` directory.The scripts source data from the `MR_data` and `TRIAL_data` directories. The `PICKLED_data` directory contains the python pickled files from which we extracted the .csv files in `MR_data` -- these files can be ignored. ## Computer scriptsThe directory root contains various R (.R) and python (.py) scripts that will process the data files. It also contains a `cetp_conda_env.yml` file to conda install the necessary R and python modules:```cd scriptsconda env create -f cetp_conda_env.yml ```This creates the `cetp` conda environment. To generate the figures, please run the following `bash` script:```# run from the scripts directory./run_scripts.sh```### Input and output* scripts/MR_heatmap.py: Takes the MR_data .tsv files and returns Figures 2 and 5.* scripts/MR_metabolites.R: Takes the MR_data .tsv/csv files and returns Figure 4.* scripts/MR_forestplots.R: Takes the MR_data .tsv files and returns Figure 3.* scripts/RCT_forestplots.R: Takes the TRIAL_data .xlsx files and returns Figure 1.## ContactPlease contact Floriaan Schmidt for any queries: amand.schmidt@ucl.ac.uk .

本数据集包含生成论文《胆固醇酯转移蛋白(CETP)作为心血管疾病治疗靶点》所依托图表所需的数据和计算机脚本。README.md文件中详述了脚本和存档数据: # 脚本与存档数据 本目录内含R和Python脚本,以及生成论文《胆固醇酯转移蛋白(CETP)作为心血管疾病治疗靶点》中所述结果的必要数据。 ## 目录内容 .├── README.md ├── scripts ├── figures ├── MR_data ├── TRIAL_data └── PICKLED_data `scripts`目录存储了生成保存至`figures`目录中图表所需的计算机代码。脚本从`MR_data`和`TRIAL_data`目录中提取源数据。 `PICKLED_data`目录包含从其中提取了`MR_data`中的.csv文件的Python pickled文件,这些文件可忽略。 ## 计算机脚本 目录根包含处理数据文件的多种R(.R)和Python(.py)脚本,同时包含一个`cetp_conda_env.yml`文件,用于conda安装必要的R和Python模块: bash cd scripts conda env create -f cetp_conda_env.yml 这将创建`cetp` conda环境。要生成图表,请在`scripts`目录下运行以下bash脚本: bash # 从scripts目录运行./run_scripts.sh ### 输入与输出 * scripts/MR_heatmap.py:接收MR_data的.tsv文件,生成图表2和5。 * scripts/MR_metabolites.R:接收MR_data的.tsv/csv文件,生成图表4。 * scripts/MR_forestplots.R:接收MR_data的.tsv文件,生成图表3。 * RCT_forestplots.R:接收TRIAL_data的.xlsx文件,生成图表1。 ## 联系方式 如有任何疑问,请联系Floriaan Schmidt:amand.schmidt@ucl.ac.uk。
提供机构:
University College London
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