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ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach
View ORCID ProfileSeohyun Lee, Che Lin, View ORCID ProfileChien-Yu Chen, View ORCID ProfileRyuichiro Nakato
doi: https://doi.org/10.1101/2024.07.25.605219
Seohyun Lee
1Interfaculty initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Che Lin
2Department of Electrical Engineering, Graduate Institute of Communication Engineering, School of Medicine, Center for Advanced Computing and Imaging in Biomedicine, Center for Biotechnology, Taipei 10617, Taiwan
Chien-Yu Chen
3Department of Biomechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
Ryuichiro Nakato
4Laboratory of Computational Genomics, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan

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Posted July 26, 2024.
ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach
Seohyun Lee, Che Lin, Chien-Yu Chen, Ryuichiro Nakato
bioRxiv 2024.07.25.605219; doi: https://doi.org/10.1101/2024.07.25.605219
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