Computational frameworks integrating deep learning and statistical models in mining multimodal omics data

Leann Lac, Carson K. Leung, Pingzhao Hu

Abstract: Highlights•Integrative deep learning and statistical model frameworks hold potential in analyzing high-dimensional multimodal omics data.•These integration frameworks use either multi-stage or end-to-end strategies to analyze and combine various types of data.•Combining strengths of statistical models and deep learning can improve model performance, interpretability and explainability.