Qi Zhao
Orcid: 0000-0001-9713-1864Affiliations:
- University of Science and Technology Liaoning, School of Computer Science and Software Engineering, Anshan, China
According to our database1,
Qi Zhao
authored at least 25 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
Guest Editorial: The Cutting-Edge Artificial Intelligence Techniques and Their Applications in Drug Discovery.
IEEE J. Biomed. Health Informatics, November, 2025
Guest Editorial:Application of Computational Techniques in Drug Discovery and Disease Treatment.
IEEE J. Biomed. Health Informatics, March, 2025
2024
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis.
Health Inf. Sci. Syst., December, 2024
SSCRB: Predicting circRNA-RBP Interaction Sites Using a Sequence and Structural Feature-Based Attention Model.
IEEE J. Biomed. Health Informatics, March, 2024
m5UMCB: Prediction of RNA 5-methyluridine sites using multi-scale convolutional neural network with BiLSTM.
Comput. Biol. Medicine, January, 2024
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization.
Swarm Evol. Comput., 2024
2023
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention.
Comput. Biol. Medicine, October, 2023
Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorization.
Briefings Bioinform., September, 2023
Gene function and cell surface protein association analysis based on single-cell multiomics data.
Comput. Biol. Medicine, May, 2023
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism.
Comput. Biol. Medicine, February, 2023
Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods.
Briefings Bioinform., January, 2023
Briefings Bioinform., January, 2023
2022
Comput. Biol. Medicine, 2022
DeepLncPro: an interpretable convolutional neural network model for identifying long non-coding RNA promoters.
Briefings Bioinform., 2022
Predicting the potential human lncRNA-miRNA interactions based on graph convolution network with conditional random field.
Briefings Bioinform., 2022
A merged molecular representation deep learning method for blood-brain barrier permeability prediction.
Briefings Bioinform., 2022
A deep learning method for predicting metabolite-disease associations via graph neural network.
Briefings Bioinform., 2022
Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder.
Briefings Bioinform., 2022
2021
Circular RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform., 2021
2020
Predicting lncRNA-miRNA interactions based on logistic matrix factorization with neighborhood regularized.
Knowl. Based Syst., 2020
2019
Briefings Bioinform., 2019
2018
Bioinform., 2018
HNGRNMF: Heterogeneous Network-based Graph Regularized Nonnegative Matrix Factorization for predicting events of microbe-disease associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Computational Prediction of Influenza Neuraminidase Inhibitors Using Machine Learning Algorithms and Recursive Feature Elimination Method.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017
2016
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy.
BMC Syst. Biol., 2016