Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology
H. Benkirane, M. Vakalopoulou, D. Planchard, J. Adam, K. Olaussen, S. Michiels, P.-H. Cournede
This paper introduces a deep learning framework for integrating multimodal cancer data, showing improved performance and interpretability across TCGA datasets.
bioRxiv · Jan 20, 2024Cancer Biology