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Current opinions on large cellular models
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作者 Minsheng Hao Lei Wei +6 位作者 Fan Yang Jianhua Yao Christina V.Theodoris Bo Wang Xin Li Ge Yang Xuegong Zhang 《Quantitative Biology》 CAS CSCD 2024年第4期433-443,共11页
1|INTRODUCTION.Large language models(LLMs)have made breakthroughs in natural language processing(NLP)and understanding,and have brought revolutions in many other fields[1-4].Inspired by those successes,several large c... 1|INTRODUCTION.Large language models(LLMs)have made breakthroughs in natural language processing(NLP)and understanding,and have brought revolutions in many other fields[1-4].Inspired by those successes,several large cellular models(LCMs)adopting similar structures of LLMs have been developed for single-cell transcriptomics,including(but not limited to)scBERT[5],Geneformer[6],scGPT[7],scFoundation[8],and GeneCompass[9].The practices of these models have shown LCMs’power and potential in various biological tasks and illustrated the possibilities of revolutionizing future biological studies by LCMs. 展开更多
关键词 large cellular models large language models scbert Geneformer scGPT scFoundation GeneCompass single-cell transcriptomics
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