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Pi-Jing Wei

Showing results (11-20 of 21) with videos related to

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BMC Bioinformatics|June 9, 2021
Double matrix completion for circRNA-disease association predictionZong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, et al.
BMC Bioinformatics|October 1, 2025
MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural networkPi-Jing Wei, Jingxin Zhou, Rui-Fen Cao, et al.
Journal of Biomedical Informatics|January 16, 2026
DMDGRN: A data augmentation-based multilayer directed graph convolutional network for gene regulatory network inferencePi-Jing Wei, Mingzhu Sun, Zheng Ding, et al.
Briefings in Bioinformatics|April 6, 2024
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embeddingZhen Gao, Yansen Su, Junfeng Xia, et al.
BMC Bioinformatics|September 25, 2021
Identification of driver genes based on gene mutational effects and network centralityYun-Yun Tang, Pi-Jing Wei, Jian-Ping Zhao, et al.
Briefings in Bioinformatics|June 27, 2024
Inference of gene regulatory networks based on directed graph convolutional networksPi-Jing Wei, Ziqiang Guo, Zhen Gao, et al.
Nucleic Acids Research|August 28, 2025
De novo promoter design method based on deep generative and dynamic evolution algorithmYijun Gu, Jianye Su, Junfeng Xia, et al.
Methods (San Diego, Calif.)|April 3, 2022
Promoter prediction in nannochloropsis based on densely connected convolutional neural networksPi-Jing Wei, Zhen-Zhen Pang, Lin-Jie Jiang, et al.
Briefings in Bioinformatics|March 21, 2025
AttentionGRN: a functional and directed graph transformer for gene regulatory network reconstruction from scRNA-seq dataZhen Gao, Yansen Su, Jin Tang, et al.
Computers in Biology and Medicine|July 12, 2024
MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infectionPi-Jing Wei, Jin-Jin Bao, Zhen Gao, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|June 9, 2021
Double matrix completion for circRNA-disease association predictionZong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, et al.
BMC Bioinformatics|October 1, 2025
MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural networkPi-Jing Wei, Jingxin Zhou, Rui-Fen Cao, et al.
Journal of Biomedical Informatics|January 16, 2026
DMDGRN: A data augmentation-based multilayer directed graph convolutional network for gene regulatory network inferencePi-Jing Wei, Mingzhu Sun, Zheng Ding, et al.
Briefings in Bioinformatics|April 6, 2024
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embeddingZhen Gao, Yansen Su, Junfeng Xia, et al.
BMC Bioinformatics|September 25, 2021
Identification of driver genes based on gene mutational effects and network centralityYun-Yun Tang, Pi-Jing Wei, Jian-Ping Zhao, et al.
Briefings in Bioinformatics|June 27, 2024
Inference of gene regulatory networks based on directed graph convolutional networksPi-Jing Wei, Ziqiang Guo, Zhen Gao, et al.
Nucleic Acids Research|August 28, 2025
De novo promoter design method based on deep generative and dynamic evolution algorithmYijun Gu, Jianye Su, Junfeng Xia, et al.
Methods (San Diego, Calif.)|April 3, 2022
Promoter prediction in nannochloropsis based on densely connected convolutional neural networksPi-Jing Wei, Zhen-Zhen Pang, Lin-Jie Jiang, et al.
Briefings in Bioinformatics|March 21, 2025
AttentionGRN: a functional and directed graph transformer for gene regulatory network reconstruction from scRNA-seq dataZhen Gao, Yansen Su, Jin Tang, et al.
Computers in Biology and Medicine|July 12, 2024
MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infectionPi-Jing Wei, Jin-Jin Bao, Zhen Gao, et al.
Pageof 3