mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AI
Heming Zhang,
Di Huang,
Emily Chen
et al.
Abstract:Generative pretrained models represent a significant advancement in natural language processing and computer vision, which can generate coherent and contextually relevant content based on the pre-training on large general datasets and fine-tune for specific tasks. Building foundation models using large scale omic data is promising to decode and understand the complex signaling language patterns within cells. Different from existing foundation models of omic data, we build a foundation model,mosGraphGPT, for mu… Show more
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