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Xiaojuan Zhan

Showing results (1-10 of 19) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|May 25, 2026
AMPGLDA: Predicting LncRNA-Disease Associations Based on Adaptive Meta-Path Generation and Multi-Layer PerceptronXuehui Zhang, Dengju Yao, Xiaojuan Zhan
BMC Bioinformatics|December 5, 2019
An improved random forest-based computational model for predicting novel miRNA-disease associationsDengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
Frontiers in Genetics|September 30, 2022
A clustering-based sampling method for miRNA-disease association predictionZheng Wei, Dengju Yao, Xiaojuan Zhan, et al.
Journal of Human Genetics|July 22, 2020
Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA-miRNA-mRNA networkDengju Yao, Zijing Lin, Xiaojuan Zhan, et al.
BMC Bioinformatics|January 29, 2024
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networksDengju Yao, Yuexiao Deng, Xiaojuan Zhan, et al.
Journal of Chemical Information and Modeling|December 2, 2025
MAGIC: A Multimodal Adaptive GRN Inference ConstructorDengju Yao, Binbin Zhang, Xiaojuan Zhan, et al.
Briefings in Bioinformatics|April 30, 2026
CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inferenceDengju Yao, BinBin Zhang, Xiaojuan Zhan, et al.
Interdisciplinary Sciences, Computational Life Sciences|November 27, 2025
DSGCNLDA: A Multi-view Learning Model with DualScope Attention for lncRNA-Disease Association PredictionDengju Yao, Zhanhe Li, Xiaojuan Zhan, et al.
BMC Bioinformatics|January 3, 2024
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associationsDengju Yao, Bailin Li, Xiaojuan Zhan, et al.
International Journal of Data Mining and Bioinformatics|November 5, 2015
A novel random forests-based feature selection method for microarray expression data analysisDengju Yao, Jing Yang, Xiaojuan Zhan, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Computational Biology and Bioinformatics|May 25, 2026
AMPGLDA: Predicting LncRNA-Disease Associations Based on Adaptive Meta-Path Generation and Multi-Layer PerceptronXuehui Zhang, Dengju Yao, Xiaojuan Zhan
BMC Bioinformatics|December 5, 2019
An improved random forest-based computational model for predicting novel miRNA-disease associationsDengju Yao, Xiaojuan Zhan, Chee-Keong Kwoh
Frontiers in Genetics|September 30, 2022
A clustering-based sampling method for miRNA-disease association predictionZheng Wei, Dengju Yao, Xiaojuan Zhan, et al.
Journal of Human Genetics|July 22, 2020
Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA-miRNA-mRNA networkDengju Yao, Zijing Lin, Xiaojuan Zhan, et al.
BMC Bioinformatics|January 29, 2024
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networksDengju Yao, Yuexiao Deng, Xiaojuan Zhan, et al.
Journal of Chemical Information and Modeling|December 2, 2025
MAGIC: A Multimodal Adaptive GRN Inference ConstructorDengju Yao, Binbin Zhang, Xiaojuan Zhan, et al.
Briefings in Bioinformatics|April 30, 2026
CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inferenceDengju Yao, BinBin Zhang, Xiaojuan Zhan, et al.
Interdisciplinary Sciences, Computational Life Sciences|November 27, 2025
DSGCNLDA: A Multi-view Learning Model with DualScope Attention for lncRNA-Disease Association PredictionDengju Yao, Zhanhe Li, Xiaojuan Zhan, et al.
BMC Bioinformatics|January 3, 2024
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associationsDengju Yao, Bailin Li, Xiaojuan Zhan, et al.
International Journal of Data Mining and Bioinformatics|November 5, 2015
A novel random forests-based feature selection method for microarray expression data analysisDengju Yao, Jing Yang, Xiaojuan Zhan, et al.
Pageof 2