Sign inGet started
Dataset · Hugging Face

AIBIC/MLOmics

MLOmics: Cancer Multi-Omics Database for Machine Learning 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.

Author / organizationAIBIC
License (as declared)cc-by-4.0
Downloads735 (as reported by Hugging Face)
Likes12
Created4 April 2025
Last updated at source22 September 2026
biologycancergenomicsmulti-omicstcgabenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/816bd243-104c-45ed-a2fa-96a17d1b7d06" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.