Editorial: Machine learning for biological sequence analysis

Zhibin Lv; Mingxin Li; Yansu Wang; Quan Zou

doi:10.3389/fgene.2023.1150688

Editorial: Machine learning for biological sequence analysis

Front Genet. 2023 Feb 3:14:1150688. doi: 10.3389/fgene.2023.1150688. eCollection 2023.

Authors

Zhibin Lv¹, Mingxin Li¹, Yansu Wang², Quan Zou^{2

3}

Affiliations

¹ College of Biomedical Engineering, Sichuan University, Chengdu, China.
² Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
³ Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.

No abstract available

Keywords: BERT classification algorithm; biomarker; biosequence analysis; imblanced data; machine learning (ML); single-cell.

Publication types

Editorial

Grants and funding

The work was supported by the National Natural Science Foundation of China (No. 62250028, No. 62131004, and No. 62001090), the Sichuan Provincial Science Fund for Distinguished Young Scholars (2021JDJQ0025), and the Municipal Government of Quzhou (No. 2022D040).