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EpiGePT: a Pretrained Transformer model for epigenomics
View ORCID ProfileZijing Gao, View ORCID ProfileQiao Liu, Wanwen Zeng, Rui Jiang, Wing Hung Wong
doi: https://doi.org/10.1101/2023.07.15.549134
Zijing Gao
1Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China
Qiao Liu
2Department of Statistics, Stanford University, Stanford, CA 94305, USA
Wanwen Zeng
2Department of Statistics, Stanford University, Stanford, CA 94305, USA
Rui Jiang
1Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China
Wing Hung Wong
2Department of Statistics, Stanford University, Stanford, CA 94305, USA
3Department of Biomedical Data Science, Bio-X Program, Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
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Posted February 03, 2024.
EpiGePT: a Pretrained Transformer model for epigenomics
Zijing Gao, Qiao Liu, Wanwen Zeng, Rui Jiang, Wing Hung Wong
bioRxiv 2023.07.15.549134; doi: https://doi.org/10.1101/2023.07.15.549134
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