Yongyut Sirivatanauksorn

Deep3DCCS: Geometry-Driven Collision Cross Section Prediction from Multi-View Molecular Projection Tensors

Abstract Collision cross section (CCS) measurements from ion mobility–mass spectrometry improve confidence in molecular identification in metabolomics and lipidomics and reduce false-positive annotations in untargeted analyses. However, experimental CCS coverage remains incomplet...

When Clinicaland Metabolomics Data Work Together:A Comparative Framework for Multimodal Disease Classification acrossMachine and Deep Learning

Abstract Disease classification using clinical and metabolomics data increasingly relies on multimodal integration, yet the complementary and comparative contributions of these modalities remain poorly understood. Most existing frameworks prioritize predictive performance without...