Shixiong Zhang
Orcid: 0000-0002-0314-9199Affiliations:
- Xidian University, School of Computer Science and Technology, Xi'an, China
- City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2020)
According to our database1,
Shixiong Zhang
authored at least 17 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm.
Comput. Biol. Medicine, January, 2024
2022
scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information.
Bioinform., 2022
Briefings Bioinform., 2022
High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning.
Briefings Bioinform., 2022
2021
Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the ISMSI 2021: 2021 5th International Conference on Intelligent Systems, 2021
2020
Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization.
CoRR, 2020
2019
A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting.
Soft Comput., 2019
Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications.
Bioinform., 2019
Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning.
Bioinform., 2019
2017
A multi-factor and high-order stock forecast model based on Type-2 FTS using cuckoo search and self-adaptive harmony search.
Neurocomputing, 2017