The Cancer Genome Atlas

Emerging

1papers using it

2025first seen

The Cancer Genome Atlas is a comprehensive dataset that contains genomic, epigenomic, transcriptomic, and clinical data from various cancer types, used to evaluate cancer prognostication and overall survival prediction through multimodal machine learning approaches.

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Papers using The Cancer Genome Atlas (1)

Machine Learning-based Multimodal Prognostic Models Integrating Pathology Images And High-throughput Omic Data For Overall Survival Prediction In Cancer: A Systematic Review2025