卵巢癌细胞状态的多维表征

数据集获取（Figshare）

• 源站标题：<b>Multi-dimensional characterization of cellular states in ovarian cancer reveals clinically relevant immunological subtypes and therapeutic vulnerabilities</b>
• DOI：10.6084/m9.figshare.25387909.v1
• 发布日期：2024-03-12
• 文件数：1 个
• 文件总体积：11.01 MB
• 源站页面：https://figshare.com/articles/dataset/_b_Multi-dimensional_characterization_of_cellular_states_in_ovarian_cancer_reveals_clinically_relevant_immunological_subtypes_and_therapeutic_vulnerabilities_b_/25387909

命令行下载

curl -L -o "The data for figures.xlsx" "https://ndownloader.figshare.com/files/44983102"

文件清单

• The data for figures.xlsx（11.01 MB）

文件总体积 11.01 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

we depicted and characterized an immunophenotypic landscape of 3,099 OV samples and 80,044 cells based on a machine learning framework

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25387909.v1（source: https://figshare.com/articles/dataset/_b_Multi-dimensional_characterization_of_cellular_states_in_ovarian_cancer_reveals_clinically_relevant_immunological_subtypes_and_therapeutic_vulnerabilities_b_/25387909）。