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Transcription Factor Binding Sites Prediction with Long-Short Distance Fusion Learning Based on Dual-path TCN
Artificial Intelligence | 更新时间:2025-04-10
    • Transcription Factor Binding Sites Prediction with Long-Short Distance Fusion Learning Based on Dual-path TCN

    • In the field of gene expression regulation, researchers have proposed a model that combines dual channel time convolutional networks and long short distance fusion learning mechanisms to effectively predict the binding sites between DNA and transcription factors, providing new ideas for a deeper understanding of gene expression and regulation mechanisms.
    • Software Guide   Vol. 24, Issue 3, Pages: 31-36(2025)
    • DOI:10.11907/rjdk.241671    

      CLC: TP18
    • Received:07 August 2024

      Published:15 March 2025

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  • WU Zhiqiang,SONG Jiazhi,JIANG Jingqing,et al.Transcription Factor Binding Sites Prediction with Long-Short Distance Fusion Learning Based on Dual-path TCN[J].Software Guide,2025,24(03):31-36. DOI: 10.11907/rjdk.241671.

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