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Zhuangwei Shi

Showing results (1-10 of 5) with videos related to

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Biomolecules|January 21, 2022
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention MechanismChen Jin, Zhuangwei Shi, Ken Lin, et al.
Frontiers in Genetics|April 18, 2022
An Interpretable Double-Scale Attention Model for Enzyme Protein Class Prediction Based on Transformer Encoders and Multi-Scale ConvolutionsKen Lin, Xiongwen Quan, Chen Jin, et al.
International Journal of Molecular Sciences|January 21, 2022
TLCrys: Transfer Learning Based Method for Protein Crystallization PredictionChen Jin, Zhuangwei Shi, Chuanze Kang, et al.
BMC Bioinformatics|March 22, 2021
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associationsZhuangwei Shi, Han Zhang, Chen Jin, et al.
ACS Omega|April 21, 2025
Ethanol Concentration Determination in Baijiu by Graph-Regularized PCA and Random Forest-Based Raman SpectroscopyZhenhao Chen, Zhuangwei Shi, Jianchen Zi, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Biomolecules|January 21, 2022
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention MechanismChen Jin, Zhuangwei Shi, Ken Lin, et al.
Frontiers in Genetics|April 18, 2022
An Interpretable Double-Scale Attention Model for Enzyme Protein Class Prediction Based on Transformer Encoders and Multi-Scale ConvolutionsKen Lin, Xiongwen Quan, Chen Jin, et al.
International Journal of Molecular Sciences|January 21, 2022
TLCrys: Transfer Learning Based Method for Protein Crystallization PredictionChen Jin, Zhuangwei Shi, Chuanze Kang, et al.
BMC Bioinformatics|March 22, 2021
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associationsZhuangwei Shi, Han Zhang, Chen Jin, et al.
ACS Omega|April 21, 2025
Ethanol Concentration Determination in Baijiu by Graph-Regularized PCA and Random Forest-Based Raman SpectroscopyZhenhao Chen, Zhuangwei Shi, Jianchen Zi, et al.
Pageof 1