You're currently viewing an old version of this dataset. To see the current version, click here.

Autoencoder& GANs for Imbalanced Multi-Omics

The proposed model is applied to two publicly available datasets, the first is the Cancer Genome Atlas (TCGA) Breast Invasive Carcinoma (BRCA) dataset, which contains DNA Methylation, Copy Number Alteration (CNA), and Gene information. The second is the TCGA Bladder Urothelial Carcinoma (BLCA) dataset, which contains DNA Methylation, CNA and mRNA

Data and Resources

Cite this as

Ibrahim Al-Hurani, Abedalrhman Alkhateeb, Salama Ikki (2024). Dataset: Autoencoder& GANs for Imbalanced Multi-Omics. https://doi.org/10.57702/raha1vic

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Author Ibrahim Al-Hurani
More Authors
Abedalrhman Alkhateeb
Salama Ikki