MLOmics：癌症多组学机器学习数据库

数据集获取（Figshare）

• 源站标题：MLOmics: Cancer Multi-Omics Database for Machine Learning
• DOI：10.6084/m9.figshare.28729127.v2
• 发布日期：2025-05-25
• 文件数：240 个
• 文件总体积：9.48 GB
• 源站页面：https://figshare.com/articles/dataset/MLOmics_Cancer_Multi-Omics_Database_for_Machine_Learning/28729127

命令行下载

curl -L -o ".DS_Store" "https://ndownloader.figshare.com/files/54814490"
curl -L -o ".DS_Store" "https://ndownloader.figshare.com/files/54814517"
curl -L -o ".DS_Store" "https://ndownloader.figshare.com/files/54814529"
curl -L -o "OV_miRNA_aligned.csv" "https://ndownloader.figshare.com/files/54814538"
curl -L -o "OV_Methy_aligned.csv" "https://ndownloader.figshare.com/files/54814940"
curl -L -o "OV_mRNA_aligned.csv" "https://ndownloader.figshare.com/files/54814928"
curl -L -o "OV_CNV_aligned.csv" "https://ndownloader.figshare.com/files/54814886"
curl -L -o "OV_label_num.csv" "https://ndownloader.figshare.com/files/54814547"

文件清单

• .DS_Store（6.15 KB）
• .DS_Store（6.15 KB）
• .DS_Store（6.15 KB）
• OV_miRNA_aligned.csv（744.33 KB）
• OV_Methy_aligned.csv（35.93 MB）
• OV_mRNA_aligned.csv（31.41 MB）
• OV_CNV_aligned.csv（23.30 MB）
• OV_label_num.csv（574 B）
• OV_Methy.csv（80.17 MB）
• OV_CNV.csv（43.90 MB）
• OV_label_num.csv（574 B）
• OV_miRNA.csv（1.49 MB）
• OV_mRNA.csv（57.52 MB）
• OV_mRNA_top.csv（13.83 MB）
• OV_Methy_top.csv（16.04 MB）
• OV_miRNA_top.csv（460.22 KB）
• OV_CNV_top.csv（10.41 MB）
• OV_label_num.csv（574 B）
• COAD_CNV_aligned.csv（53.35 MB）
• COAD_Methy_aligned.csv（53.18 MB）

文件总体积 9.48 GB（源站 API 实测）。

数据说明

Framing the investigation of diverse cancers as a machine learning problem has recently shown significant potential in multi-omics analysis and cancer research. Empowering these successful machine learning models are the high-quality training datasets with sufficient data volume and adequate preprocessing. However, while there exist several public data portals including The Cancer Genome Atlas (TCGA) multi-omics initiative or open-bases such as the LinkedOmics, these databases are not off-the-shelf for existing machine learning models. we propose MLOmics, an open cancer multi-omics database aiming at serving better the development and evaluation of bioinformatics and machine learning models. MLOmics contains 8,314 patient samples covering all 32 cancer types with four omics types, stratified features, and extensive baselines. Complementary support for downstream analysis and bio-knowledge linking are also included to support interdisciplinary analysis.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28729127.v2（source: https://figshare.com/articles/dataset/MLOmics_Cancer_Multi-Omics_Database_for_Machine_Learning/28729127）。