Lina Zhang
Orcid: 0000-0002-2553-2463Affiliations:
- Shandong University, School of Mechanical, Electrical and Information Engineering, China
According to our database1,
Lina Zhang
authored at least 14 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations.
Comput. Biol. Chem., 2025
2024
Prediction of plant LncRNA-protein interactions based on feature fusion and an improved residual network.
Expert Syst. Appl., March, 2024
Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data.
Appl. Soft Comput., January, 2024
GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network.
Artif. Intell. Medicine, 2024
2023
HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, October, 2023
ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features.
Comput. Biol. Chem., June, 2023
2022
Association prediction of CircRNAs and diseases using multi-homogeneous graphs and variational graph auto-encoder.
Comput. Biol. Medicine, 2022
2020
PCSPred_SC: Prediction of Protein Citrullination Sites Using an Effective Sequence-Based Combined Method.
IEEE Access, 2020
2019
Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
DeepGly: A Deep Learning Framework With Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites From Imbalanced Data.
IEEE Access, 2019
2018
PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations.
Proceedings of the IEEE International Conference on Information and Automation, 2018
2016
Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes.
BMC Bioinform., 2016
2015
Incorporating g-gap dipeptide composition and position specific scoring matrix for identifying antioxidant proteins.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015
A machine learning approach to identify DNA replication proteins from sequence-derived features.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015