DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology
Attention mechanisms have been widely utilized in modern deep learning, and many existing multi-omics models inherit their conventional use to allow unrestricted bidirectional interactions. However, the fundamental logic of life is directional. Existing designs often overlook the directionality suggested by the central dogma, potentially limiting transfer across heterogeneous cancers, downstream tasks, and incomplete modality settings.In this work, we present DoGMA, a central-dogma-guided founda
Record details
Published: 8 August 2026
Source: arXiv cs.LG
Category: Research
Topics: Safety & alignment
Retrieved: 11 August 2026
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How to cite this record
ethics.ai (8 August 2026), “DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology,” evidence record 18333, https://ethics.ai/record/18333 (originally published by arXiv cs.LG).
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