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Qianqian Shi
Qianqian Shi
Verified email at mail.hzau.edu.cn
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Year
Discovering personalized driver mutation profiles of single samples in cancer by network control strategy
WF Guo, SW Zhang, LL Liu, F Liu, QQ Shi, L Zhang, Y Tang, T Zeng, ...
Bioinformatics 34 (11), 1893-1903, 2018
952018
Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data
Q Shi, C Zhang, M Peng, X Yu, T Zeng, J Liu, L Chen
Bioinformatics 33 (17), 2706-2714, 2017
752017
A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification
WF Guo, SW Zhang, QQ Shi, CM Zhang, T Zeng, L Chen
Bmc Genomics 19, 67-79, 2018
352018
Multi-view subspace clustering analysis for aggregating multiple heterogeneous omics data
Q Shi, B Hu, T Zeng, C Zhang
Frontiers in genetics 10, 744, 2019
202019
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis
WF Guo, X Yu, QQ Shi, J Liang, SW Zhang, T Zeng
PLoS computational biology 17 (5), e1008962, 2021
192021
Local network component analysis for quantifying transcription factor activities
Q Shi, C Zhang, W Guo, T Zeng, L Lu, Z Jiang, Z Wang, J Liu, L Chen
Methods 124, 25-35, 2017
132017
Integration of multiple heterogeneous omics data
C Zhang, J Liu, Q Shi, X Yu, T Zeng, L Chen
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
122016
Regulation and control roles of the basal ganglia in the development of absence epileptiform activities
B Hu, D Wang, Z Xia, A Yang, J Zhang, Q Shi, H Dai
Cognitive Neurodynamics 14, 137-154, 2020
112020
Comparative network stratification analysis for identifying functional interpretable network biomarkers
C Zhang, J Liu, Q Shi, T Zeng, L Chen
BMC bioinformatics 18, 1-12, 2017
82017
scDA: Single cell discriminant analysis for single-cell RNA sequencing data
Q Shi, X Li, Q Peng, C Zhang, L Chen
Computational and Structural Biotechnology Journal 19, 3234-3244, 2021
52021
Differential function analysis: identifying structure and activation variations in dysregulated pathways
C Zhang, J Liu, Q Shi, T Zeng, L Chen
Science China. Information Sciences 60 (1), 012108, 2017
42017
Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics
Y Hu, K Xiao, H Yang, X Liu, C Zhang, Q Shi
Briefings in Bioinformatics 25 (2), bbae016, 2024
32024
Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification
C Zhang, X Li, W Huang, L Wang, Q Shi
Briefings in Bioinformatics 24 (4), bbad197, 2023
32023
Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network
X Li, W Huang, X Xu, HY Zhang, Q Shi
Frontiers in Genetics 14, 1202409, 2023
32023
Decoding the similarities and specific differences between latent and active tuberculosis infections based on consistently differential expression networks
J Sun, Q Shi, X Chen, R Liu
Briefings in Bioinformatics 21 (6), 2084-2098, 2020
32020
The effect of external voltage stimulation on absence seizures
B Hu, D Wang, Q Shi
Technology and Health Care 28 (S1), 245-251, 2020
32020
The oscillatory boundary conditions of different frequency bands in Parkinson’s disease
B Hu, Q Shi, Y Guo, X Diao, H Guo, J Zhang, L Yu, H Dai, L Chen
Journal of Theoretical Biology 451, 67-79, 2018
32018
Identification of phenotypic networks based on whole transcriptome by comparative network decomposition
C Zhang, J Liu, Q Shi, T Zeng, L Chen
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
22015
LANTSA: Landmark-based transferable subspace analysis for single-cell and spatial transcriptomics
C Zhang, L Wang, X Li, WF Guo, Q Shi, L Chen
bioRxiv, 2022.03. 13.484116, 2022
12022
Detecting disease genes of non-small lung cancer based on consistently differential interactions
Q Shi, X Liu, T Zeng, W Wang, L Chen
Cancer and Metastasis Reviews 34, 195-208, 2015
12015
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Articles 1–20