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Minzhu Xie

Showing results (1-10 of 34) with videos related to

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BMC Bioinformatics|December 29, 2022
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions predictionJunjun Zhang, Minzhu Xie
Journal of Bioinformatics and Computational Biology|September 12, 2024
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoderZhou Yi, Minzhu Xie
Methods (San Diego, Calif.)|March 20, 2025
DriverMEDS: Cancer driver gene identification using mutual exclusivity from embeded features and driver mutation scoringSichen Yi, Minzhu Xie
BMC Bioinformatics|October 3, 2023
Graph regularized non-negative matrix factorization with <math> </math> norm regularization terms for drug-target interactions predictionJunjun Zhang, Minzhu Xie
Plos Computational Biology|May 14, 2026
Multiplex networks-based directed graph neural network for cancer driver gene identificationPingting Li, Minzhu Xie
Interdisciplinary Sciences, Computational Life Sciences|June 12, 2023
LDAEXC: LncRNA-Disease Associations Prediction with Deep Autoencoder and XGBoost ClassifierCuihong Lu, Minzhu Xie
International Journal of Bioinformatics Research and Applications|December 5, 2012
Parameterised algorithms of the individual haplotyping problem with gapsMinzhu Xie, Jing Wang
Briefings in Bioinformatics|September 23, 2024
DrugDoctor: enhancing drug recommendation in cold-start scenario via visit-level representation learning and trainingYabin Kuang, Minzhu Xie
Frontiers in Genetics|December 6, 2019
A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease AssociationsShiru Li, Minzhu Xie, Xinqiu Liu
Frontiers in Genetics|January 2, 2023
Predicting gene expression from histone modifications with self-attention based neural networks and transfer learningYuchi Chen, Minzhu Xie, Jie Wen
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|December 29, 2022
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions predictionJunjun Zhang, Minzhu Xie
Journal of Bioinformatics and Computational Biology|September 12, 2024
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoderZhou Yi, Minzhu Xie
Methods (San Diego, Calif.)|March 20, 2025
DriverMEDS: Cancer driver gene identification using mutual exclusivity from embeded features and driver mutation scoringSichen Yi, Minzhu Xie
BMC Bioinformatics|October 3, 2023
Graph regularized non-negative matrix factorization with <math> </math> norm regularization terms for drug-target interactions predictionJunjun Zhang, Minzhu Xie
Plos Computational Biology|May 14, 2026
Multiplex networks-based directed graph neural network for cancer driver gene identificationPingting Li, Minzhu Xie
Interdisciplinary Sciences, Computational Life Sciences|June 12, 2023
LDAEXC: LncRNA-Disease Associations Prediction with Deep Autoencoder and XGBoost ClassifierCuihong Lu, Minzhu Xie
International Journal of Bioinformatics Research and Applications|December 5, 2012
Parameterised algorithms of the individual haplotyping problem with gapsMinzhu Xie, Jing Wang
Briefings in Bioinformatics|September 23, 2024
DrugDoctor: enhancing drug recommendation in cold-start scenario via visit-level representation learning and trainingYabin Kuang, Minzhu Xie
Frontiers in Genetics|December 6, 2019
A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease AssociationsShiru Li, Minzhu Xie, Xinqiu Liu
Frontiers in Genetics|January 2, 2023
Predicting gene expression from histone modifications with self-attention based neural networks and transfer learningYuchi Chen, Minzhu Xie, Jie Wen
Pageof 4