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Linai Kuang

Showing results (1-10 of 18) with videos related to

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Plos One|April 8, 2025
Edge-enhanced interaction graph network for protein-ligand binding affinity predictionDinghai Yang, Linai Kuang, An Hu
Frontiers in Genetics|November 1, 2021
Multi-Similarities Bilinear Matrix Factorization-Based Method for Predicting Human Microbe-Disease AssociationsXiaoyu Yang, Linai Kuang, Zhiping Chen, et al.
Computational and Mathematical Methods in Medicine|July 27, 2018
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAsHaochen Zhao, Linai Kuang, Lei Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 17, 2021
Identification of Essential Proteins Based on Local Random Walk and Adaptive Multi-View Multi-Label LearningLei Wang, Jiaxin Peng, Linai Kuang, et al.
International Journal of Molecular Sciences|January 2, 2019
A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and DiseasesHaochen Zhao, Linai Kuang, Xiang Feng, et al.
Frontiers in Genetics|November 8, 2021
A Novel Collaborative Filtering Model-Based Method for Identifying Essential ProteinsXianyou Zhu, Xin He, Linai Kuang, et al.
Frontiers in Genetics|July 16, 2021
Method for Identifying Essential Proteins by Key Features of Proteins in a Novel Protein-Domain NetworkXin He, Linai Kuang, Zhiping Chen, et al.
Briefings in Bioinformatics|March 24, 2022
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational modelsLei Wang, Yaqin Tan, Xiaoyu Yang, et al.
Frontiers in Genetics|May 20, 2020
BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association PredictionXianyou Zhu, Xuzai Wang, Haochen Zhao, et al.
BMC Bioinformatics|December 3, 2020
A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairsYubin Xiao, Zheng Xiao, Xiang Feng, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Plos One|April 8, 2025
Edge-enhanced interaction graph network for protein-ligand binding affinity predictionDinghai Yang, Linai Kuang, An Hu
Frontiers in Genetics|November 1, 2021
Multi-Similarities Bilinear Matrix Factorization-Based Method for Predicting Human Microbe-Disease AssociationsXiaoyu Yang, Linai Kuang, Zhiping Chen, et al.
Computational and Mathematical Methods in Medicine|July 27, 2018
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAsHaochen Zhao, Linai Kuang, Lei Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 17, 2021
Identification of Essential Proteins Based on Local Random Walk and Adaptive Multi-View Multi-Label LearningLei Wang, Jiaxin Peng, Linai Kuang, et al.
International Journal of Molecular Sciences|January 2, 2019
A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and DiseasesHaochen Zhao, Linai Kuang, Xiang Feng, et al.
Frontiers in Genetics|November 8, 2021
A Novel Collaborative Filtering Model-Based Method for Identifying Essential ProteinsXianyou Zhu, Xin He, Linai Kuang, et al.
Frontiers in Genetics|July 16, 2021
Method for Identifying Essential Proteins by Key Features of Proteins in a Novel Protein-Domain NetworkXin He, Linai Kuang, Zhiping Chen, et al.
Briefings in Bioinformatics|March 24, 2022
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational modelsLei Wang, Yaqin Tan, Xiaoyu Yang, et al.
Frontiers in Genetics|May 20, 2020
BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association PredictionXianyou Zhu, Xuzai Wang, Haochen Zhao, et al.
BMC Bioinformatics|December 3, 2020
A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairsYubin Xiao, Zheng Xiao, Xiang Feng, et al.
Pageof 2