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Junlin Xu
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2020 – today
- 2024
- [j18]Pan Zeng, Bofei Zhang, Aohang Liu, Yajie Meng, Xianfang Tang, Jialiang Yang, Junlin Xu:
Drug repositioning based on tripartite cross-network embedding and graph convolutional network. Expert Syst. Appl. 252: 124152 (2024) - [j17]Wei Liu, Youze Pan, Zhijie Teng, Junlin Xu:
scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery. IEEE J. Biomed. Health Informatics 28(6): 3772-3780 (2024) - 2023
- [j16]Ze-Qun Zhang, Junlin Xu, Yanan Wu, Nian-Nian Liu, Ying-Long Wang, Ying Liang:
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data. Briefings Bioinform. 24(1) (2023) - [j15]Jing Jiang, Junlin Xu, Yuansheng Liu, Bosheng Song, Xiulan Guo, Xiangxiang Zeng, Quan Zou:
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. Briefings Bioinform. 24(3) (2023) - [j14]Yajie Meng, Yi Wang, Junlin Xu, Changcheng Lu, Xianfang Tang, Tao Peng, Ben-gong Zhang, Geng Tian, Jialiang Yang:
Drug repositioning based on weighted local information augmented graph neural network. Briefings Bioinform. 25(1) (2023) - [j13]Yi Sun, Lijun Cai, Bo Liao, Wen Zhu, Junlin Xu:
A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts. IEEE Trans. Knowl. Data Eng. 35(6): 5550-5562 (2023) - [c2]Shuaishuai Yang, Min Jin, Lian Wang, Changcheng Lu, Yajie Meng, Die Yan, Zhijian Huang, Junlin Xu:
Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism. BIBM 2023: 1620-1626 - 2022
- [j12]Yajie Meng, Changcheng Lu, Min Jin, Junlin Xu, Xiangxiang Zeng, Jialiang Yang:
A weighted bilinear neural collaborative filtering approach for drug repositioning. Briefings Bioinform. 23(2) (2022) - [j11]Junlin Xu, Lingyu Cui, Jujuan Zhuang, Yajie Meng, Pingping Bing, Binsheng He, Geng Tian, Choi Kwok Pui, Taoyang Wu, Bing Wang, Jialiang Yang:
Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data. Comput. Biol. Medicine 146: 105697 (2022) - [j10]Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang:
Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3190-3201 (2022) - 2021
- [j9]Jujuan Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren, Junlin Xu, Tianbao Li, Geng Tian, Jialiang Yang:
A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering. IEEE Access 9: 9719-9727 (2021) - [j8]Yajie Meng, Min Jin, Xianfang Tang, Junlin Xu:
Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study. Appl. Soft Comput. 103: 107135 (2021) - [j7]Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su:
Drug repositioning based on the heterogeneous information fusion graph convolutional network. Briefings Bioinform. 22(6) (2021) - [j6]Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang:
CMF-Impute: an accurate imputation tool for single cell RNA-seq data. Bioinform. 36(22-23): 5563-5564 (2021) - [i1]Pan Zeng, Md. Fazla Elahe, Junlin Xu, Min Jin:
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature. CoRR abs/2103.12534 (2021) - 2020
- [j5]Yuhua Yao, Binbin Ji, Sihong Shi, Junlin Xu, Xiaofang Xiao, Enchao Yu, Bo Liao, Jialiang Yang:
IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access 8: 16517-16527 (2020) - [j4]Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang:
LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information. IEEE Access 8: 80728-80738 (2020) - [j3]Yajie Meng, Min Jin, Xianfang Tang, Junlin Xu:
Degree-Based Similarity Indexes for Identifying Potential miRNA-Disease Associations. IEEE Access 8: 133170-133179 (2020) - [j2]Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang:
CMF-Impute: an accurate imputation tool for single-cell RNA-seq data. Bioinform. 36(10): 3139-3147 (2020) - [c1]Wen Li, Shulin Wang, Junlin Xu, Jialiang Yang:
Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. ICIC (2) 2020: 302-315
2010 – 2019
- 2019
- [j1]Manzhi Li, Hongtao Wang, Haixia Long, Ju Xiang, Bo Wang, Junlin Xu, Jialiang Yang:
Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding. IEEE Access 7: 120616-120625 (2019)
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