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Xin Fei

Showing results (71-80 of 135) with videos related to

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Journal of Chemical Information and Modeling|June 12, 2025
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory NetworksXin-Fei Wang, Lan Huang, Yan Wang, et al.
Zhonghua Nan Ke Xue = National Journal of Andrology|August 10, 2025
[Moxibustion combined with low-dose tadalafil for diabetes mellitus-induced erectile dysfunction: A prospective, single-center, three-arm randomized controlled trial]Tao Liu, Zhao-Xu Yang, Yan Xu, et al.
BMC Biology|June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
Zhonghua Nan Ke Xue = National Journal of Andrology|July 21, 2023
[Correlations between resting-state brain functional characteristics and TCM syndrome in premature ejaculation patients with heart-kidney disharmony]Yan Xu, Tao Liu, Yu Qiao, et al.
BMC Bioinformatics|January 3, 2024
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small moleculesYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
Iscience|August 16, 2023
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoderXin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Cancer Cell International|September 3, 2020
A novel role of Krüppel-like factor 8 as an apoptosis repressor in hepatocellular carcinomaMing-Da Wang, Hao Xing, Chao Li, et al.
Frontiers in Genetics|February 27, 2023
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks modelMeng-Meng Wei, Chang-Qing Yu, Li-Ping Li, et al.
Briefings in Functional Genomics|August 4, 2023
DeepCMI: a graph-based model for accurate prediction of circRNA-miRNA interactions with multiple informationYue-Chao Li, Zhu-Hong You, Chang-Qing Yu, et al.
Frontiers in Genetics|September 2, 2022
KGDCMI: A New Approach for Predicting circRNA-miRNA Interactions From Multi-Source Information Extraction and Deep LearningXin-Fei Wang, Chang-Qing Yu, Li-Ping Li, et al.
Pageof 14

Showing results (71-80 of 135) with videos related to

Sort By:
Pageof 14
Journal of Chemical Information and Modeling|June 12, 2025
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory NetworksXin-Fei Wang, Lan Huang, Yan Wang, et al.
Zhonghua Nan Ke Xue = National Journal of Andrology|August 10, 2025
[Moxibustion combined with low-dose tadalafil for diabetes mellitus-induced erectile dysfunction: A prospective, single-center, three-arm randomized controlled trial]Tao Liu, Zhao-Xu Yang, Yan Xu, et al.
BMC Biology|June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
Zhonghua Nan Ke Xue = National Journal of Andrology|July 21, 2023
[Correlations between resting-state brain functional characteristics and TCM syndrome in premature ejaculation patients with heart-kidney disharmony]Yan Xu, Tao Liu, Yu Qiao, et al.
BMC Bioinformatics|January 3, 2024
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small moleculesYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
Iscience|August 16, 2023
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoderXin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Cancer Cell International|September 3, 2020
A novel role of Krüppel-like factor 8 as an apoptosis repressor in hepatocellular carcinomaMing-Da Wang, Hao Xing, Chao Li, et al.
Frontiers in Genetics|February 27, 2023
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks modelMeng-Meng Wei, Chang-Qing Yu, Li-Ping Li, et al.
Briefings in Functional Genomics|August 4, 2023
DeepCMI: a graph-based model for accurate prediction of circRNA-miRNA interactions with multiple informationYue-Chao Li, Zhu-Hong You, Chang-Qing Yu, et al.
Frontiers in Genetics|September 2, 2022
KGDCMI: A New Approach for Predicting circRNA-miRNA Interactions From Multi-Source Information Extraction and Deep LearningXin-Fei Wang, Chang-Qing Yu, Li-Ping Li, et al.
Pageof 14