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.