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Zhufang Kuang

Showing results (1-10 of 9) with videos related to

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Frontiers in Oncology|November 7, 2022
SVMMDR: Prediction of miRNAs-drug resistance using support vector machines based on heterogeneous networkTao Duan, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA InteractionsZhihao Ma, Zhufang Kuang, Lei Deng
BMC Bioinformatics|November 13, 2021
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous networkZhihao Ma, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 19, 2021
MSCNE:Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological InformationGenwei Han, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 1, 2022
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural NetworksJiwen Liu, Zhufang Kuang, Lei Deng
Frontiers in Medicine|October 2, 2023
DEJKMDR: miRNA-disease association prediction method based on graph convolutional networkShiyuan Gao, Zhufang Kuang, Tao Duan, et al.
Frontiers in Genetics|May 1, 2020
GBDTL2E: Predicting lncRNA-EF Associations Using Diffusion and HeteSim Features Based on a Heterogeneous NetworkJiaqi Wang, Zhufang Kuang, Zhihao Ma, et al.
Frontiers in Cell and Developmental Biology|January 3, 2022
GBDTLRL2D Predicts LncRNA-Disease Associations Using MetaGraph2Vec and K-Means Based on Heterogeneous NetworkTao Duan, Zhufang Kuang, Jiaqi Wang, et al.
Frontiers in Plant Science|February 27, 2023
Editorial: Big data and artificial intelligence technologies for smart forestryWeipeng Jing, Zhufang Kuang, Rafał Scherer, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|November 7, 2022
SVMMDR: Prediction of miRNAs-drug resistance using support vector machines based on heterogeneous networkTao Duan, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 7, 2023
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA InteractionsZhihao Ma, Zhufang Kuang, Lei Deng
BMC Bioinformatics|November 13, 2021
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous networkZhihao Ma, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 19, 2021
MSCNE:Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological InformationGenwei Han, Zhufang Kuang, Lei Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 1, 2022
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural NetworksJiwen Liu, Zhufang Kuang, Lei Deng
Frontiers in Medicine|October 2, 2023
DEJKMDR: miRNA-disease association prediction method based on graph convolutional networkShiyuan Gao, Zhufang Kuang, Tao Duan, et al.
Frontiers in Genetics|May 1, 2020
GBDTL2E: Predicting lncRNA-EF Associations Using Diffusion and HeteSim Features Based on a Heterogeneous NetworkJiaqi Wang, Zhufang Kuang, Zhihao Ma, et al.
Frontiers in Cell and Developmental Biology|January 3, 2022
GBDTLRL2D Predicts LncRNA-Disease Associations Using MetaGraph2Vec and K-Means Based on Heterogeneous NetworkTao Duan, Zhufang Kuang, Jiaqi Wang, et al.
Frontiers in Plant Science|February 27, 2023
Editorial: Big data and artificial intelligence technologies for smart forestryWeipeng Jing, Zhufang Kuang, Rafał Scherer, et al.
Pageof 1