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Shihu Jiao

Showing results (1-10 of 14) with videos related to

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Computational and Structural Biotechnology Journal|June 29, 2022
Identification of plant vacuole proteins by exploiting deep representation learning featuresShihu Jiao, Quan Zou
Genomics|June 29, 2021
CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifierShihu Jiao, Lei Xu, Ying Ju
Journal of Translational Medicine|October 28, 2021
iTTCA-RF: a random forest predictor for tumor T cell antigensShihu Jiao, Quan Zou, Huannan Guo, et al.
BMC Biology|May 20, 2026
KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representationsShihu Jiao, Chunyan Ao, Quan Zou, et al.
Research (Washington, D.C.)|September 17, 2024
Biological Sequence Classification: A Review on Data and General MethodsChunyan Ao, Shihu Jiao, Yansu Wang, et al.
Frontiers in Genetics|April 5, 2021
Advances in the Identification of Circular RNAs and Research Into circRNAs in Human DiseasesShihu Jiao, Song Wu, Shan Huang, et al.
Amino Acids|March 14, 2022
ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learningShihu Jiao, Zheng Chen, Lichao Zhang, et al.
Scientific Reports|March 21, 2025
Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanismShihu Jiao, Yu Wang, Xiucai Ye, et al.
Bioinformatics (Oxford, England)|May 2, 2024
Integrated convolution and self-attention for improving peptide toxicity predictionShihu Jiao, Xiucai Ye, Tetsuya Sakurai, et al.
Briefings in Functional Genomics|March 24, 2021
Identification of long noncoding RNAs with machine learning methods: a reviewLei Xu, Shihu Jiao, Dandan Zhang, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computational and Structural Biotechnology Journal|June 29, 2022
Identification of plant vacuole proteins by exploiting deep representation learning featuresShihu Jiao, Quan Zou
Genomics|June 29, 2021
CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifierShihu Jiao, Lei Xu, Ying Ju
Journal of Translational Medicine|October 28, 2021
iTTCA-RF: a random forest predictor for tumor T cell antigensShihu Jiao, Quan Zou, Huannan Guo, et al.
BMC Biology|May 20, 2026
KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representationsShihu Jiao, Chunyan Ao, Quan Zou, et al.
Research (Washington, D.C.)|September 17, 2024
Biological Sequence Classification: A Review on Data and General MethodsChunyan Ao, Shihu Jiao, Yansu Wang, et al.
Frontiers in Genetics|April 5, 2021
Advances in the Identification of Circular RNAs and Research Into circRNAs in Human DiseasesShihu Jiao, Song Wu, Shan Huang, et al.
Amino Acids|March 14, 2022
ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learningShihu Jiao, Zheng Chen, Lichao Zhang, et al.
Scientific Reports|March 21, 2025
Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanismShihu Jiao, Yu Wang, Xiucai Ye, et al.
Bioinformatics (Oxford, England)|May 2, 2024
Integrated convolution and self-attention for improving peptide toxicity predictionShihu Jiao, Xiucai Ye, Tetsuya Sakurai, et al.
Briefings in Functional Genomics|March 24, 2021
Identification of long noncoding RNAs with machine learning methods: a reviewLei Xu, Shihu Jiao, Dandan Zhang, et al.
Pageof 2