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Pi-Jing Wei

Showing results (1-10 of 21) with videos related to

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Methods (San Diego, Calif.)|March 31, 2023
Disease biomarker identification based on sample network optimizationPi-Jing Wei, Wenwen Ma, Yanxin Li, et al.
Biology|March 27, 2024
Personalized Driver Gene Prediction Using Graph Convolutional Networks with Conditional Random FieldsPi-Jing Wei, An-Dong Zhu, Ruifen Cao, et al.
BMC Bioinformatics|February 4, 2017
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction networkPi-Jing Wei, Di Zhang, Junfeng Xia, et al.
IEEE Journal of Biomedical and Health Informatics|June 15, 2026
MVCL: A Contrastive Learning Model with Multi-view Networks for Driver Gene PredictionPi-Jing Wei, Nan Li, Zhen Gao, et al.
Computer Methods and Programs in Biomedicine|September 13, 2022
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memoryZhi-Min Zhang, Jian-Ping Zhao, Pi-Jing Wei, et al.
Frontiers in Genetics|April 20, 2019
Identifying Disease-Gene Associations With Graph-Regularized Manifold LearningPing Luo, Qianghua Xiao, Pi-Jing Wei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 2, 2023
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression DataZhen Gao, Jin Tang, Junfeng Xia, et al.
Briefings in Bioinformatics|May 26, 2025
GAEDGRN: reconstruction of gene regulatory networks based on gravity-inspired graph autoencodersPi-Jing Wei, Huai-Wan Jin, Zhen Gao, et al.
BMC Medical Genomics|January 1, 2020
MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networksYing Hui, Pi-Jing Wei, Junfeng Xia, et al.
Frontiers in Genetics|May 16, 2020
Prioritizing Cancer Genes Based on an Improved Random Walk MethodPi-Jing Wei, Fang-Xiang Wu, Junfeng Xia, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Methods (San Diego, Calif.)|March 31, 2023
Disease biomarker identification based on sample network optimizationPi-Jing Wei, Wenwen Ma, Yanxin Li, et al.
Biology|March 27, 2024
Personalized Driver Gene Prediction Using Graph Convolutional Networks with Conditional Random FieldsPi-Jing Wei, An-Dong Zhu, Ruifen Cao, et al.
BMC Bioinformatics|February 4, 2017
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction networkPi-Jing Wei, Di Zhang, Junfeng Xia, et al.
IEEE Journal of Biomedical and Health Informatics|June 15, 2026
MVCL: A Contrastive Learning Model with Multi-view Networks for Driver Gene PredictionPi-Jing Wei, Nan Li, Zhen Gao, et al.
Computer Methods and Programs in Biomedicine|September 13, 2022
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memoryZhi-Min Zhang, Jian-Ping Zhao, Pi-Jing Wei, et al.
Frontiers in Genetics|April 20, 2019
Identifying Disease-Gene Associations With Graph-Regularized Manifold LearningPing Luo, Qianghua Xiao, Pi-Jing Wei, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 2, 2023
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression DataZhen Gao, Jin Tang, Junfeng Xia, et al.
Briefings in Bioinformatics|May 26, 2025
GAEDGRN: reconstruction of gene regulatory networks based on gravity-inspired graph autoencodersPi-Jing Wei, Huai-Wan Jin, Zhen Gao, et al.
BMC Medical Genomics|January 1, 2020
MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networksYing Hui, Pi-Jing Wei, Junfeng Xia, et al.
Frontiers in Genetics|May 16, 2020
Prioritizing Cancer Genes Based on an Improved Random Walk MethodPi-Jing Wei, Fang-Xiang Wu, Junfeng Xia, et al.
Pageof 3