Lei Xu
Orcid: 0000-0002-6440-6881Affiliations:
- Shenzhen Polytechnic University, School of Electronic and Communication Engineering, China
According to our database1,
Lei Xu
authored at least 21 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Frontiers Comput. Sci., April, 2025
An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.
Bioinform., 2025
2024
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2.
Briefings Bioinform., January, 2024
2023
BMC Bioinform., December, 2023
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
Bioinform., October, 2023
PLoS Comput. Biol., 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Identification and classification of promoters using the attention mechanism based on long short-term memory.
Frontiers Comput. Sci., 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Analyzing Surgical Treatment of Intestinal Obstruction in Children with Artificial Intelligence.
Comput. Math. Methods Medicine, 2021
A prognosis-related based method for miRNA selection on liver hepatocellular carcinoma prediction.
Comput. Biol. Chem., 2021
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method.
Bioinform., 2021
An in silico approach to identification, categorization and prediction of nucleic acid binding proteins.
Briefings Bioinform., 2021
Machine learning for phytopathology: from the molecular scale towards the network scale.
Briefings Bioinform., 2021
The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis.
Briefings Bioinform., 2021
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
A comprehensive review of the imbalance classification of protein post-translational modifications.
Briefings Bioinform., 2021
2020
Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology.
IEEE Access, 2020
iRNA-m5C_NB: A Novel Predictor to Identify RNA 5-Methylcytosine Sites Based on the Naive Bayes Classifier.
IEEE Access, 2020
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008