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Minzhu Xie
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2020 – today
- 2024
- [j24]Yabin Kuang, Minzhu Xie:
DrugDoctor: enhancing drug recommendation in cold-start scenario via visit-level representation learning and training. Briefings Bioinform. 25(6) (2024) - [j23]Zhou Yi, Minzhu Xie:
Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoder. J. Bioinform. Comput. Biol. 22(4): 2450020:1-2450020:15 (2024) - 2023
- [j22]Junjun Zhang, Minzhu Xie:
Graph regularized non-negative matrix factorization with L2,1 norm regularization terms for drug-target interactions prediction. BMC Bioinform. 24(1): 375 (2023) - [c8]Yabin Kuang, Minzhu Xie:
Subtype-DCGCN: an unsupervised approach for cancer subtype diagnosis based on multi-omics data. BIBM 2023: 554-559 - 2022
- [j21]Junjun Zhang, Minzhu Xie:
NNDSVD-GRMF: A Graph Dual Regularization Matrix Factorization Method Using Non-Negative Initialization for Predicting Drug-Target Interactions. IEEE Access 10: 91235-91244 (2022) - [j20]Junjun Zhang, Minzhu Xie:
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction. BMC Bioinform. 23(1): 564 (2022) - [j19]Minzhu Xie, Xiaowen Lei, Jiancheng Zhong, Jianxing Ouyang, Guijing Li:
Drug response prediction using graph representation learning and Laplacian feature selection. BMC Bioinform. 23-S(8): 532 (2022) - 2021
- [j18]Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang:
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22(2): 1729-1750 (2021) - [j17]Dipan Shaw, Hao Chen, Minzhu Xie, Tao Jiang:
DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms. BMC Bioinform. 22(1): 24 (2021) - [j16]Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang:
A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinform. 22(1): 248 (2021) - [c7]Minzhu Xie, Fang Liu:
Overview of Machine Learning Methods for Genome-Wide Association Analysis. BIBE 2021: 4:1-4:7 - 2020
- [j15]Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang:
Quantifying functional impact of non-coding variants with multi-task Bayesian neural network. Bioinform. 36(5): 1397-1404 (2020)
2010 – 2019
- 2019
- [j14]Jianxing Ouyang, Minzhu Xie, Xinqiu Liu:
DIMDRP: A Double Iteration Method for Drug Response Prediction. IEEE Access 7: 140224-140232 (2019) - 2017
- [j13]Xiwei Tang, Wei Peng, Minzhu Xie:
Iteration method for detecting disease genes in terms of the integration of the cellular compartment information with the protein-protein interaction data. Int. J. Data Min. Bioinform. 18(4): 315-330 (2017) - 2016
- [j12]Minzhu Xie, Qiong Wu, Jianxin Wang, Tao Jiang:
H-PoP and H-PoPG: heuristic partitioning algorithms for single individual haplotyping of polyploids. Bioinform. 32(24): 3735-3744 (2016) - [j11]Xiwei Tang, Xuejun Yang, Yongfan Li, Wei Hu, Ming-Cai Zheng, Wei Peng, Minzhu Xie:
Identification of essential proteins via the network topology feature and subcellular localisation. Int. J. Data Min. Bioinform. 16(4): 328-344 (2016) - 2015
- [j10]Xiaojun Ding, Jianxin Wang, Alex Zelikovsky, Xuan Guo, Minzhu Xie, Yi Pan:
Searching High-Order SNP Combinations for Complex Diseases Based on Energy Distribution Difference. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 695-704 (2015) - [j9]Minzhu Xie, Jianxin Wang, Xin Chen:
LGH: A Fast and Accurate Algorithm for Single Individual Haplotyping Based on a Two-Locus Linkage Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1255-1266 (2015) - 2013
- [j8]Minzhu Xie, Jing Wang:
Parameterised algorithms of the individual haplotyping problem with gaps. Int. J. Bioinform. Res. Appl. 9(1): 25-40 (2013) - [c6]Yang Yang, Minzhu Xie:
A parameterized enumeration algorithm for the haplotype assembly problem. BMEI 2013: 455-459 - 2012
- [j7]Minzhu Xie, Jing Li, Tao Jiang:
Detecting genome-wide epistases based on the clustering of relatively frequent items. Bioinform. 28(1): 5-12 (2012) - [j6]Minzhu Xie, Jianxin Wang, Tao Jiang:
A fast and accurate algorithm for single individual haplotyping. BMC Syst. Biol. 6(S-2): S8 (2012) - 2010
- [j5]Jianxin Wang, Minzhu Xie, Jianer Chen:
A Practical Exact Algorithm for the Individual Haplotyping Problem MEC/GI. Algorithmica 56(3): 283-296 (2010) - [j4]Minzhu Xie, Jing Li, Tao Jiang:
Accurate HLA type inference using a weighted similarity graph. BMC Bioinform. 11(S-11): S10 (2010) - [j3]Minzhu Xie, Jianxin Wang, Jianer Chen:
A practical parameterised algorithm for the individual haplotyping problem MLF. Math. Struct. Comput. Sci. 20(5): 851-863 (2010)
2000 – 2009
- 2008
- [j2]Minzhu Xie, Jianxin Wang:
An Improved (and Practical) Parameterized Algorithm for the Individual Haplotyping Problem MFR with Mate-Pairs. Algorithmica 52(2): 250-266 (2008) - [c5]Minzhu Xie, Jianxin Wang, Jianer Chen:
A Practical Exact Algorithm for the Individual Haplotyping Problem MEC. BMEI (1) 2008: 72-76 - [c4]Minzhu Xie, Jianxin Wang, Jianer Chen:
A Practical Exact Algorithm for the Individual Haplotyping Problem MEC/GI. COCOON 2008: 342-351 - [c3]Minzhu Xie, Jianxin Wang, Wei Zhou, Jianer Chen:
A Practical Parameterized Algorithm for Weighted Minimum Letter Flips Model of the Individual Haplotyping Problem. FAW 2008: 16-27 - [c2]Minzhu Xie, Jianxin Wang, Jianer Chen:
A model of higher accuracy for the individual haplotyping problem based on weighted SNP fragments and genotype with errors. ISMB 2008: 105-113 - [c1]Minzhu Xie, Jianxin Wang, Jianer Chen:
A Practical Parameterized Algorithm for the Individual Haplotyping Problem MLF. TAMC 2008: 433-444 - 2007
- [j1]Minzhu Xie, Jianer Chen, Jianxin Wang:
Research on Parameterized Algorithms of the Individual Haplotyping Problem. J. Bioinform. Comput. Biol. 5(3): 795-816 (2007)
Coauthor Index
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