Nam D. Nguyen

This paper introduces GIANT, a method for integrating atlas-scale single cell data from multiple modalities and tissues, creating a unified gene embedding space that reflects gene functions and regulations.

This paper introduces deepManReg, a deep learning model that improves phenotype prediction from multi-modal data by aligning features into a common latent space and using cross-modal manifolds for regularization.

Varmole is a deep learning model that integrates multi-omic networks to prioritize disease risk variants and genes by revealing genomic functions and mechanisms.

ManiNetCluster aligns and clusters multiple gene networks to reveal functional linkages across datasets, showing better alignment of orthologous genes than existing methods.