OpenPBTA儿童脑肿瘤图谱
儿童脑肿瘤开放多组学图谱
基本信息
资源简介
OpenPBTA整合儿童脑肿瘤基因表达、融合、突变、拷贝数和结构变异数据，其中包含松果体区肿瘤样本，可用于儿童脑肿瘤多组学分析。
下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后，才能进行数据下载，注册有对应要求，或者需要收费。
暂未开放公开下载
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免登录有偿下载
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提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放千方医数集，医疗数据集部分，是为社区服务的公开医疗数据集搜索引擎，并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求，可以和客服联系，或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/alexslemonade/openpbta-analysis.git
curl -L -o repo.zip https://github.com/alexslemonade/openpbta-analysis/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录（使用方式）
OpenPBTA-analysis
OpenPBTA is now published:
Shapiro, J.A., Gaonkar, K.S., Spielman, S.J., Savonen, C.L., Bethell, C.J., Jin, R., Rathi, K.S., Zhu, Y., Egolf, L.E., Farrow, B.K., et al. (2023). OpenPBTA: The Open Pediatric Brain Tumor Atlas. Cell Genom., 100340. 10.1016/j.xgen.2023.100340.
We will no longer be accepting contributions to this repository.
Please check out d3b-center/OpenPedCan-analysis for updates to PBTA data as well as other data sources.
Pediatric brain tumors are the most common solid tumors and the leading cause of cancer-related death in children.
Our ability to understand and successfully treat these diseases is hindered by small sample sizes due to the overall rarity of unique molecular subtypes and tainted grouped analyses resulting from misclassification.
In September of 2018, the Children’'s Brain Tumor Network (CBTN) released the Pediatric Brain Tumor Atlas (PBTA), a genomic dataset (whole genome sequencing, whole exome sequencing, RNA sequencing, proteomic, and clinical data) for nearly 1,000 tumors, available from the Gabriella Miller Kids First Portal.
The Open Pediatric Brain Tumor Atlas (OpenPBTA) Project is a global open science initiative to comprehensively define the molecular landscape of tumors of 943 patients from the CBTN and the PNOC003 DIPG clinical trial from the Pediatric Pacific Neuro-oncology Consortium through real-time, collaborative analyses and collaborative manuscript writing on GitHub.
The OpenPBTA operates on a pull request model to accept contributions from community participants.
The maintainers have set up continuous integration software to confirm the reproducibility of analyses within the project’s Docker container.
The collaborative manuscript is authored using Manubot software to provide an up-to-date public version of the manuscript.
The project maintainers include scientists from Alex’‘s Lemonade Stand Foundation’'s Childhood Cancer Data Lab and the [Center for Data-Driven Discovery in Biomedicine at the Children’'s Hospital of Philadelphia](https://d3b.cent
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
精度瓶颈？数据缺失？
当前公开数据无法满足您的算法精度？千方提供针对 松果体母细胞瘤 的高质量、多模态真实临床数据定制解决方案。
