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iEnhancer-GDM: A Deep Learning Framework Based on Generative Adversarial Network and Multi-head Attention Mechanism to Identify Enhancers and Their Strength

Crossref DOI link: https://doi.org/10.1007/s12539-025-00703-9

Published Online: 2025-05-07

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Xiaomei

Liao, Meng

Ye, Bin

Xia, Junfeng https://orcid.org/0000-0003-3024-1705
Zhao, Jianping
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (62362062)

Xinjiang Key Laboratory of Applied Mathematics (XJDX1401)
License Information

Text and Data Mining valid from 2025-05-07

Version of Record valid from 2025-05-07
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Article History

Received: 9 April 2024

Revised: 13 March 2025

Accepted: 13 March 2025

First Online: 7 May 2025

Declarations

:

: Author Junfeng Xia is a member of the Editorial Board for Interdisciplinary Sciences: Computational Life Sciences, and was not involved in the journal's review of, or decisions related to, this manuscript. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this manuscript.

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