Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures

• Mingze Sun ,

  Contributed equally to this work with: Mingze Sun, Di Zhang

  Roles Data curation, Formal analysis, Methodology, Visualization, Writing – original draft

  Affiliation Yingcai Honors College, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

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• Di Zhang ,

  Contributed equally to this work with: Mingze Sun, Di Zhang

  Roles Data curation, Formal analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: zhangdi@aaib.pku.edu.cn (DZ), zhiyuanli@pku.edu.cn (ZL), yihan.lin@pku.edu.cn (YL)

  Affiliation Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, Sichuan, China

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• Zhiyuan Li ,

  Roles Methodology, Supervision, Writing – review & editing

  * E-mail: zhangdi@aaib.pku.edu.cn (DZ), zhiyuanli@pku.edu.cn (ZL), yihan.lin@pku.edu.cn (YL)

  Affiliation Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

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• Yihan Lin

  Roles Methodology, Supervision, Writing – review & editing

  * E-mail: zhangdi@aaib.pku.edu.cn (DZ), zhiyuanli@pku.edu.cn (ZL), yihan.lin@pku.edu.cn (YL)

  Affiliations Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, Sichuan, China, Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, The MOE Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing, China

  https://orcid.org/0000-0002-2763-5538

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