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2020 – today
- 2024
[j14]Xiaoshu Zhu
, Shuang Meng, Gaoshi Li, Jian-Xin Wang, Xiaoqing Peng:
AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification. Bioinform. 40(2) (2024)- [j13]Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu:
Identification of cancer driver genes based on hierarchical weak consensus model. Health Inf. Sci. Syst. 12(1): 21 (2024) - 2023
- [j12]Gaoshi Li, Xinlong Luo, Zhipeng Hu, Jingli Wu, Wei Peng, Jiafei Liu, Xiaoshu Zhu:
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality. Health Inf. Sci. Syst. 11(1): 55 (2023) - [j11]Xiaoshu Zhu, Liyuan Pang, Xiaojun Ding, Wei Lan, Shuang Meng, Xiaoqing Peng:
A Gene Correlation Measurement Method for Spatial Transcriptome Data Based on Partitioning and Distribution. J. Comput. Biol. 30(8): 877-888 (2023) - [j10]Junhong Feng, Jie Zhang, Xiaoshu Zhu, Jian-Hong Wang:
Gene selection and clustering of single-cell data based on Fisher score and genetic algorithm. J. Supercomput. 79(7): 7067-7093 (2023) - [c11]Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu:
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. BIBM 2023: 324-327 - 2022
- [j9]Xiaoshu Zhu, Jian Li, Yongchang Lin, Liquan Zhao, Jian-Xin Wang, Xiaoqing Peng:
Dimensionality Reduction of Single-Cell RNA Sequencing Data by Combining Entropy and Denoising AutoEncoder. J. Comput. Biol. 29(10): 1074-1084 (2022) - [c10]Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan:
scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. BIBM 2022: 206-211 - [c9]Xiaoshu Zhu, Liyuan Pang, Wei Lan, Shuang Meng, Xiaoqing Peng:
STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data. ISBRA 2022: 9-18 - 2021
- [c8]Faning Long, Xiaojun Ding, Xiaoqing Peng, Jianxin Wang, Xiaoshu Zhu:
SCOTCluster: Deep Clustering with Optimal Transport for Large-scale Single-cell RNA-seq Data. BIBM 2021: 249-252 - [c7]Xiaoshu Zhu, Yongchang Lin, Jian Li, Jianxin Wang, Xiaoqing Peng:
ScDA: A Denoising AutoEncoder Based Dimensionality Reduction for Single-cell RNA-seq Data. ISBRA 2021: 534-545 - 2020
- [j8]Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li:
A network enhancement-based method for clustering of single cell RNA-seq data. Int. J. Data Min. Bioinform. 24(4): 306-325 (2020) - [j7]Hong-Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn, Jianxin Wang:
ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. J. Bioinform. Comput. Biol. 18(3): 2040009:1-2040009:25 (2020)
2010 – 2019
- 2019
- [j6]Jie Zhang, Xiaoshu Zhu, Junhong Feng, Yifang Yang:
Finding community of brain networks based on artificial bee colony with uniform design. Multim. Tools Appl. 78(23): 33297-33317 (2019) - [c6]Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng:
A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. BIBM 2019: 261-266 - [c5]Shugui Bu, Lilu Guo, Rongyuan Li, Jianbo Lu, Xiaoshu Zhu:
GSE: Graph similarity enhancement algorithm for single-cell RNA-seq data clustering. ICIIP 2019: 405-409 - 2017
- [j5]Xiaoshu Zhu, Jie Qiu, Miao Xie, Jianxin Wang:
A multi-objective biclustering algorithm based on fuzzy mathematics. Neurocomputing 253: 177-182 (2017) - [j4]Zhao Lu, Xiaoshu Zhu:
基于压缩感知的图像处理算法研究 (Research on Image Processing Algorithm Based on Compressed Sensing). 计算机科学 44(6): 312-316 (2017) - [j3]Qiaoyong Jiang, Lei Wang, Jiatang Cheng, Xiaoshu Zhu, Wei Li, Yanyan Lin, Guolin Yu, Xinhong Hei, Jinwei Zhao, Xiaofeng Lu:
Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages. Knowl. Based Syst. 121: 111-128 (2017) - [j2]Junhong Feng, Jie Zhang, Xiaoshu Zhu, Wenwu Lian:
A novel chaos optimization algorithm. Multim. Tools Appl. 76(16): 17405-17436 (2017) - 2016
- [j1]Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang:
Efficient kNN classification algorithm for big data. Neurocomputing 195: 143-148 (2016) - 2011
- [c4]Heidi Bjering, Athula Ginige, Anthony J. Maeder, Alan Bensoussan, Xiaoshu Zhu, Charles Lattuca:
Electronic Medical Record Information System for Patient Consultations in Chinese Medicine. HIC 2011: 10-15 - 2010
- [c3]Laura Duck, Xiaoshu Zhu, Stefania Penkala, Anthony J. Maeder:
Strategies to enhance computer assisted differential diagnosis in Traditional Chinese Medicine for Coronary Heart Disease: Validity and standardisation of a diagnostic instrument. BIBM Workshops 2010: 749-753
2000 – 2009
Coauthor Index
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