STmiR: A Novel XGBoost-based framework for spatially resolved miRNA activity prediction in cancer transcriptomics

• Jiaqi Yuan,

  Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

  Affiliation Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China

  https://orcid.org/0009-0009-9619-9555

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• Peng Xu ,

  Roles Formal analysis, Funding acquisition, Project administration, Supervision

  * E-mail: gdxupeng@gzhu.edu.cn (PX); wbliu6910@gzhu.edu.cn (WL); zheng_ye@gzhu.edu.cn (ZY)

  Affiliations Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China, School of Computer Science of Information Technology, Qiannan Normal University for Nationalities, Duyun, Guizhou, China

  https://orcid.org/0000-0001-7028-9987

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• Zheng Ye ,

  Roles Investigation, Supervision, Visualization, Writing – review & editing

  * E-mail: gdxupeng@gzhu.edu.cn (PX); wbliu6910@gzhu.edu.cn (WL); zheng_ye@gzhu.edu.cn (ZY)

  Affiliation Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China

  https://orcid.org/0009-0003-8169-9326

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• Wenbin Liu

  Roles Funding acquisition, Software, Validation, Writing – review & editing

  * E-mail: gdxupeng@gzhu.edu.cn (PX); wbliu6910@gzhu.edu.cn (WL); zheng_ye@gzhu.edu.cn (ZY)

  Affiliation Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China

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