多发性骨髓瘤患者药物反应预测的化学振荡器信息处理网络会议表1

数据集获取（Figshare）

• 源站标题：Table1_The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma.XLSX
• DOI：10.3389/fchem.2022.901918.s001
• 发布日期：2022-07-08
• 文件数：1 个
• 文件总体积：38.59 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table1_The_Concilium_of_Information_Processing_Networks_of_Chemical_Oscillators_for_Determining_Drug_Response_in_Patients_With_Multiple_Myeloma_XLSX/20264691

命令行下载

curl -L -o "Table1_The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma.XLSX" "https://ndownloader.figshare.com/files/36202401"

文件清单

• Table1_The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma.XLSX（38.59 KB）

文件总体积 38.59 KB（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

It can be expected that medical treatments in the future will be individually tailored for each patient. Here we present a step towards personally addressed drug therapy. We consider multiple myeloma treatment with drugs: bortezomib and dexamethasone. It has been observed that these drugs are effective for some patients and do not help others. We describe a network of chemical oscillators that can help to differentiate between non-responsive and responsive patients. In our numerical simulations, we consider a network of 3 interacting oscillators described with the Oregonator model. The input information is the gene expression value for one of 15 genes measured for patients with multiple myeloma. The single-gene networks optimized on a training set containing outcomes of 239 therapies, 169 using bortezomib and 70 using dexamethasone, show up to 71% accuracy in differentiating between non-responsive and responsive patients. If the results of single-gene networks are combined into the concilium with the majority voting strategy, then the accuracy of predicting the patient’s response to the therapy increases to ∼ 85%.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fchem.2022.901918.s001（source: https://frontiersin.figshare.com/articles/dataset/Table1_The_Concilium_of_Information_Processing_Networks_of_Chemical_Oscillators_for_Determining_Drug_Response_in_Patients_With_Multiple_Myeloma_XLSX/20264691）。