Deep Metric Loss for Multimodal Learning

1 code implementation • 21 Aug 2023 • Sehwan Moon, Hyunju Lee

Multimodal learning often outperforms its unimodal counterparts by exploiting unimodal contributions and cross-modal interactions.

SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration

1 code implementation • 17 Apr 2022 • Jeongyoung Hwang, Sehwan Moon, Hyunju Lee

We propose a novel method of multi-omics integration called supervised deep generalized canonical correlation analysis (SDGCCA) for modeling correlation structures between nonlinear multi-omics manifolds, aiming for improving classification of phenotypes and revealing biomarkers related to phenotypes.

feature selection