MLOmics is an open benchmark database for developing and evaluating machine learning methods on cancer multi-omics data. It covers 8,314 patient samples across 32 cancer types with four omics modalities: mRNA expression, miRNA expression, DNA methylation, and copy number variation (CNV). Unlike raw TCGA releases, MLOmics provides standardized preprocessing, unified feature scales, and benchmark-ready task organization for… See the full description on the dataset page:
https://huggingface.co/datasets/AIBIC/MLOmics.
