A central-dogma-guided Transformer-MoE with directed attention and masked reconstruction improves cross-cohort multi-omics performance in cancer subtyping, metastasis detection, and survival prediction.
Its graph architecture propagates informa- tion through promoter-to-protein routes and learns molec- ular structure through masked interaction reconstruction
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DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology
A central-dogma-guided Transformer-MoE with directed attention and masked reconstruction improves cross-cohort multi-omics performance in cancer subtyping, metastasis detection, and survival prediction.