DataSheet1_肿瘤精准医学与药物组学数据分析综合工具.PDF

数据集获取（Figshare）

• 源站标题：DataSheet1_A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.PDF
• DOI：10.3389/fphar.2023.1085765.s001
• 发布日期：2023-01-12
• 文件数：1 个
• 文件总体积：3.71 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet1_A_comprehensive_tool_for_tumor_precision_medicine_with_pharmaco-omics_data_analysis_PDF/21876918

命令行下载

curl -L -o "DataSheet1_A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.PDF" "https://ndownloader.figshare.com/files/38811462"

文件清单

• DataSheet1_A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.PDF（3.71 MB）

文件总体积 3.71 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Background: Cancer precision medicine is an effective strategy to fight cancers by bridging genomics and drug discovery to provide specific treatment for patients with different genetic characteristics. Although some public databases and modelling frameworks have been developed through studies on drug response, most of them only considered the ramifications of the drug on the cell line and the effects on the patient still require a huge amount of work to integrate data from various databases and calculations, especially concerning precision treatment. Furthermore, not only efficacy but also the adverse effects of drugs on patients should be taken into account during cancer treatment. However, the adverse effects as essential indicators of drug safety assessment are always neglected.
Method: A holistic estimation explores various drugs’ efficacy levels by calculating their potency both in reversing and enhancing cancer-associated gene expression change. And a method for bridging the gap between cell culture and living tissue estimates the effectiveness of a drug on individual patients through the mappings of various cell lines to each person according to their genetic mutation similarities.
Result: We predicted the efficacy of FDA-recommended drugs, taking into account both efficacy and toxicity, and obtained consistent results. We also provided an intuitive and easy-to-use web server called DBPOM (http://www.dbpom.net/, a comprehensive database of pharmaco-omics for cancer precision medicine), which not only integrates the above methods but also provides calculation results on more than 10,000 small molecule compounds and drugs. As a one-stop web server, clinicians and drug researchers can also analyze the overall effect of a drug or a drug combination on cancer patients as well as the biological functions that they target. DBPOM is now public, free to use with no login requirement, and contains all the data and code.
Conclusion: Both the positive and negative effects of drugs during precision treatment are essential for practical application of drugs. DBPOM based on the two effects will become a vital resource and analysis platform for drug development, drug me

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fphar.2023.1085765.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet1_A_comprehensive_tool_for_tumor_precision_medicine_with_pharmaco-omics_data_analysis_PDF/21876918）。