Datasets for "Integrating Epigenetic and Phenotypic Features for Biological Age Estimation in Cancer Patients via Multimodal Learning"

Dataset OverviewThe dataset is derived from the LinkedOmics database, and it contains two subsets:Internal_8_cancer_cohorts: Breast invasive carcinoma (BRCA), Colorectal adenocarcinoma (COADREAD), Head and neck squamous cell carcinoma (HNSC), Lung adenocarcinoma (LUAD), Lung squamous cell carcinoma (LUSC), Pan-kidney cancer (KIPAN), Stomach and esophageal carcinoma (STES), Thyroid carcinoma (THCA)External_4_cancer_cohorts: Bladder urothelial carcinoma (BLCA), Pancreatic adenocarcinoma (PAAD), Skin cutaneous melanoma (SKCM), Testicular germ cell tumor (TGCT)Data SourceLinkedOmics which includes multi-omics data from 32 TCGA Cancer types and 10 Clinical Proteomics Tumor Analysis Consortium (CPTAC) Cancer cohorts.Citing Our PaperJiang S, Ma W, Yu S, Su C, Yan R, Lu J. Integrating Epigenetic and Phenotypic Features for Biological Age Estimation in Cancer Patients via Multimodal Learning. In 2025 IEEE International Conference on Bioinformatics and Biomedicine.

数据集概览
本数据集源自LinkedOmics数据库，包含两个子集：
Internal_8_cancer_cohorts（内部8个癌症队列）：浸润性乳腺癌（Breast invasive carcinoma, BRCA）、结肠腺癌（Colorectal adenocarcinoma, COADREAD）、头颈部鳞状细胞癌（Head and neck squamous cell carcinoma, HNSC）、肺腺癌（Lung adenocarcinoma, LUAD）、肺鳞状细胞癌（Lung squamous cell carcinoma, LUSC）、泛肾癌（Pan-kidney cancer, KIPAN）、胃食管癌（Stomach and esophageal carcinoma, STES）、甲状腺癌（Thyroid carcinoma, THCA）
External_4_cancer_cohorts（外部4个癌症队列）：膀胱尿路上皮癌（Bladder urothelial carcinoma, BLCA）、胰腺腺癌（Pancreatic adenocarcinoma, PAAD）、皮肤黑色素瘤（Skin cutaneous melanoma, SKCM）、睾丸生殖细胞肿瘤（Testicular germ cell tumor, TGCT）
数据来源
本数据集依托LinkedOmics数据库构建，该库涵盖32种癌症基因组图谱（The Cancer Genome Atlas, TCGA）癌症类型以及10项临床蛋白质组肿瘤分析联盟（Clinical Proteomics Tumor Analysis Consortium, CPTAC）癌症队列的多组学数据。
论文引用
Jiang S, Ma W, Yu S, Su C, Yan R, Lu J. 《Integrating Epigenetic and Phenotypic Features for Biological Age Estimation in Cancer Patients via Multimodal Learning》（通过多模态学习整合表观遗传与表型特征以估算癌症患者的生物学年龄），发表于2025年IEEE生物信息学与生物医学国际会议（2025 IEEE International Conference on Bioinformatics and Biomedicine）。