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Li Mengshan

Showing results (1-10 of 8) with videos related to

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Interdisciplinary Sciences, Computational Life Sciences|July 16, 2025
DNA Methylation Recognition Using Hybrid Deep Learning with Dual Nucleotide Visualization Fusion Feature EncodingLi Tan, Li Mengshan, Li Yelin, et al.
Heliyon|August 4, 2023
A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networksHou Biyu, Tan GuangWen, Zeng Ming, et al.
BMC Genomics|December 28, 2024
Predicting lncRNA-protein interactions using a hybrid deep learning model with dinucleotide-codon fusion feature encodingLi Tan, Li Mengshan, Fu Yu, et al.
BMC Cancer|June 5, 2024
A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanismHou Biyu, Li Mengshan, Hou Yuxin, et al.
NPJ Digital Medicine|April 27, 2026
Fourier Kolmogorov-Arnold Network integrated into BioBERT-based model for Biomedical Named Entity RecognitionLi Yelin, Wu Yan, Xie Xiaojun, et al.
Food Chemistry|December 15, 2024
Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide predictionLai Zhenghui, Hu Wenxing, Wu Yan, et al.
BMC Genomics|December 11, 2023
Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation predictionWu Yan, Li Tan, Li Mengshan, et al.
BMC Biology|April 24, 2025
A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene predictionWu Yan, Fu Yu, Li Tan, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Interdisciplinary Sciences, Computational Life Sciences|July 16, 2025
DNA Methylation Recognition Using Hybrid Deep Learning with Dual Nucleotide Visualization Fusion Feature EncodingLi Tan, Li Mengshan, Li Yelin, et al.
Heliyon|August 4, 2023
A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networksHou Biyu, Tan GuangWen, Zeng Ming, et al.
BMC Genomics|December 28, 2024
Predicting lncRNA-protein interactions using a hybrid deep learning model with dinucleotide-codon fusion feature encodingLi Tan, Li Mengshan, Fu Yu, et al.
BMC Cancer|June 5, 2024
A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanismHou Biyu, Li Mengshan, Hou Yuxin, et al.
NPJ Digital Medicine|April 27, 2026
Fourier Kolmogorov-Arnold Network integrated into BioBERT-based model for Biomedical Named Entity RecognitionLi Yelin, Wu Yan, Xie Xiaojun, et al.
Food Chemistry|December 15, 2024
Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide predictionLai Zhenghui, Hu Wenxing, Wu Yan, et al.
BMC Genomics|December 11, 2023
Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation predictionWu Yan, Li Tan, Li Mengshan, et al.
BMC Biology|April 24, 2025
A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene predictionWu Yan, Fu Yu, Li Tan, et al.
Pageof 1