DataSheet_1_探索多尺度癌症系统生物学：面向模型驱动的临床肿瘤学及其在个性化治疗中的应用
基于综述论文的补充数据表，提供多尺度癌症系统生物学中组学数据、模型和个性化治疗相关表格数据。
基本信息
资源简介
DataSheet_1_探索多尺度癌症系统生物学：面向模型驱动的临床肿瘤学及其在个性化治疗中的应用
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 155.27 KB，主题涵盖 multi-scale cancer modeling、personalized cancer therapeutics、cancer systems biology、data-driven oncology、in silico cancer systems oncology，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip》。配套论文《The ''War on Cancer'' and its impact》发表于 Nature Clinical Practice Oncology（2004），DOI：10.1038/ncponc0036。源站首次发布：2021-11-24。
【数据内容】
源站原始描述：Rapid advancements in high-throughput omics technologies and experimental protocols have led to the generation of vast amounts of scale-specific biomolecular data on cancer that now populates several online databases and resources. Cancer systems biology models built using this data have the potential to provide specific insights into complex multifactorial aberrations underpinning tumor initiation, development, and metastasis. Furthermore, the annotation of these single- and multi-scale models…
【数据结构与技术规格】
文件数 1 个，合计 155.27 KB。DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip：application/zip，155.27 KB。数据集 DOI：10.3389/fonc.2021.712505.s001。
【主题与分类】
源站学科分类：Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签：multi-scale cancer modeling、personalized cancer therapeutics、cancer systems biology、data-driven oncology、in silico cancer systems oncology、predictive systems oncology。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Navigating_Multi-Scale_Cancer_Systems_Biology_Towards_Model-Driven_Clinical_Oncology_and_Its_Applications_in_Personalized_Therapeutics_zip/17073845
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Gondal, Mahnoor Naseer; Chaudhary, Safee Ullah (2021). DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-08，引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取（Figshare）
- 源站标题：DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip
- DOI：10.3389/fonc.2021.712505.s001
- 发布日期：2021-11-24
- 文件数：1 个
- 文件总体积：155.27 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Navigating_Multi-Scale_Cancer_Systems_Biology_Towards_Model-Driven_Clinical_Oncology_and_Its_Applications_in_Personalized_Therapeutics_zip/17073845
命令行下载
curl -L -o "DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip" "https://ndownloader.figshare.com/files/31567778"
文件清单
DataSheet_1_Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics.zip（155.27 KB）
文件总体积 155.27 KB（源站 API 实测）。
数据说明
Rapid advancements in high-throughput omics technologies and experimental protocols have led to the generation of vast amounts of scale-specific biomolecular data on cancer that now populates several online databases and resources. Cancer systems biology models built using this data have the potential to provide specific insights into complex multifactorial aberrations underpinning tumor initiation, development, and metastasis. Furthermore, the annotation of these single- and multi-scale models with patient data can additionally assist in designing personalized therapeutic interventions as well as aid in clinical decision-making. Here, we have systematically reviewed the emergence and evolution of (i) repositories with scale-specific and multi-scale biomolecular cancer data, (ii) systems biology models developed using this data, (iii) associated simulation software for the development of personalized cancer therapeutics, and (iv) translational attempts to pipeline multi-scale panomics data for data-driven in silico clinical oncology. The review concludes that the absence of a generic, zero-code, panomics-based multi-scale modeling pipeline and associated software framework, impedes the development and seamless deployment of personalized in silico multi-scale models in clinical settings.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2021.712505.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Navigating_Multi-Scale_Cancer_Systems_Biology_Towards_Model-Driven_Clinical_Oncology_and_Its_Applications_in_Personalized_Therapeutics_zip/17073845）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务？立即联系我们获取专业方案。
