Shixiong Zhang

Orcid: 0000-0002-0314-9199

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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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

DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs.
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

Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data.
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

Deep embedded clustering with multiple objectives on scRNA-seq data.
Briefings Bioinform., 2021

Identification of pan-cancer Ras pathway activation with deep learning.
Briefings Bioinform., 2021

Feature Selection and Feature Extraction: Highlights.
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


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