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

Contains data and computer scripts to generate the figures underlying the manuscript: Cholesteryl Ester Transfer Protein (CETP) as a Drug Target for Cardiovascular Disease.<br>The README.md:# Scripts and deposited data <br>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'. <br>## Directory content <br>.├── README.md├── scripts├── figures├── MR_data├── TRIAL_data└── PICKLED_data<br>The `scripts` directory contains the computer codes necessary to generate the figures which get saved to the `figures` directory.<br>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. <br>## Computer scripts<br>The directory root contains various R (.R) and python (.py) scripts that will process the data files. <br>It also contains a `cetp_conda_env.yml` file to conda install the necessary R and python modules:<br>```cd scriptsconda env create -f cetp_conda_env.yml ```<br>This creates the `cetp` conda environment. <br>To generate the figures, please run the following `bash` script:<br>```# run from the scripts directory./run_scripts.sh```<br>### Input and output<br>* 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.<br><br>## Contact<br>Please contact Floriaan Schmidt for any queries: [e-mail] . <br>

包含用于生成手稿《胆固醇酯转移蛋白（Cholesteryl Ester Transfer Protein, CETP）作为心血管疾病药物靶点》中所有图表的相关数据及计算机脚本。
README.md内容：# 脚本与已存档数据
本目录包含用于生成手稿《胆固醇酯转移蛋白（CETP）作为心血管疾病药物靶点》中所述结果所需的R和Python脚本及数据。
## 目录内容
.├── README.md
├── scripts
├── figures
├── MR_data
├── TRIAL_data
└── PICKLED_data
`scripts`目录包含生成图表所需的计算机代码，生成的图表将保存至`figures`目录。脚本从`MR_data`和`TRIAL_data`目录读取数据。`PICKLED_data`目录包含Python pickle格式文件，`MR_data`中的.csv文件即从中提取——这些文件可忽略。
## 计算机脚本
目录根目录包含用于处理数据文件的各类R（.R）和Python（.py）脚本。此外，还包含一个`cetp_conda_env.yml`文件，用于通过conda安装所需的R和Python模块：

cd scripts
conda env create -f cetp_conda_env.yml

这将创建`cetp` conda环境。
若要生成图表，请运行以下bash脚本：

# 从scripts目录运行
./run_scripts.sh

### 输入与输出
* scripts/MR_heatmap.py：读取MR_data目录下的.tsv文件，生成图2和图5。
* scripts/MR_metabolites.R：读取MR_data目录下的.tsv/csv文件，生成图4。
* scripts/MR_forestplots.R：读取MR_data目录下的.tsv文件，生成图3。
* scripts/RCT_forestplots.R：读取TRIAL_data目录下的.xlsx文件，生成图1。

## 联系方式
如有任何疑问，请联系Floriaan Schmidt：[e-mail]。