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Research Article
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Expression regulation of genes is linked to their CpG density distributions around transcription start sites

View ORCID ProfileHao Tian, Yueying He, Yue Xue, View ORCID ProfileYi Qin Gao  Correspondence email
Hao Tian
1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
Roles: Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft, review, and editing
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  • ORCID record for Hao Tian
Yueying He
1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
Roles: Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft
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Yue Xue
1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
Roles: Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft
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Yi Qin Gao
1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
2Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China
3Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China
Roles: Conceptualization, Supervision, Funding acquisition, Methodology, Writing—review and editing
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  • For correspondence: gaoyq@pku.edu.cn
Published 17 May 2022. DOI: 10.26508/lsa.202101302
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Article Information

vol. 5 no. 9 e202101302
DOI 
https://doi.org/10.26508/lsa.202101302
PubMed 
35580989

Published By 
Life Science Alliance
Online ISSN 
2575-1077
History 
  • Received November 17, 2021
  • Revision received May 7, 2022
  • Accepted May 9, 2022
  • Published online May 17, 2022.

Copyright & Usage 
© 2022 Tian et al. This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

Author Information

  1. Hao Tian, Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft, review, and editing1,*,
  2. Yueying He, Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft1,*,
  3. Yue Xue, Conceptualization, Formal analysis, Visualization, Methodology, Writing—original draft1,* and
  4. Yi Qin Gao, Conceptualization, Supervision, Funding acquisition, Methodology, Writing—review and editing1,2,3⇑
  1. 1Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
  2. 2Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China
  3. 3Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China
  1. Correspondence: gaoyq{at}pku.edu.cn
  1. ↵* Hao Tian, Yueying He, and Yue Xue contributed equally to this work.

View Full Text

Funding

  • National Natural Science Foundation of China

    92053202; 22050003
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Gene classification based on semi-supervised neural network
Hao Tian, Yueying He, Yue Xue, Yi Qin Gao
Life Science Alliance May 2022, 5 (9) e202101302; DOI: 10.26508/lsa.202101302

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Gene classification based on semi-supervised neural network
Hao Tian, Yueying He, Yue Xue, Yi Qin Gao
Life Science Alliance May 2022, 5 (9) e202101302; DOI: 10.26508/lsa.202101302
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Volume 5, No. 9
September 2022
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