| C-PUGP: A cluster-based positive unlabeled learning method for disease gene prediction and prioritization A Vasighizaker, S Jalili Computational biology and chemistry 76, 23-31, 2018 | 23 | 2018 |
| A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer A Vasighizaker, A Sharma, A Dehzangi PloS one 14 (12), e0226115, 2019 | 18 | 2019 |
| Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data A Vasighizaker, S Danda, L Rueda Scientific reports 12 (1), 120, 2022 | 13 | 2022 |
| Cell Type Annotation Model Selection: General-Purpose vs. Pattern-Aware Feature Gene Selection in Single-Cell RNA-Seq Data A Vasighizaker, Y Trivedi, L Rueda Genes 14 (3), 596, 2023 | 2 | 2023 |
| Cell type identification via convolutional neural networks and self-organizing maps on single-cell RNA-seq data A Vasighizaker, L Zhou, L Rueda Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021 | 2 | 2021 |
| Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data A Vasighizaker, S Hora, Y Trivedi, L Rueda International Work-Conference on Bioinformatics and Biomedical Engineering …, 2022 | 1 | 2022 |
| Bioinformatics and Biomedical Engineering: 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27–30, 2022, Proceedings, Part II I Rojas, O Valenzuela, F Rojas, LJ Herrera, F Ortuño Springer Nature, 2022 | 1 | 2022 |
| Unsupervised Identification of SARS-CoV-2 Target Cell Groups via Nonlinear Dimensionality Reduction on Single-cell RNA-Seq Data S Danda, A Vasighizaker, L Rueda 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 1 | 2020 |
| Candidate disease gene prediction using One-Class classification A Vasighizaker, S Jalili Soft Computing Journal 4 (1), 74-83, 2016 | 1* | 2016 |
| SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication A Vasighizaker, S Hora, R Zeng, L Rueda Briefings in Bioinformatics 25 (3), bbae160, 2024 | | 2024 |
| A Novel Method to Predict Intercellular Signaling in Single-cell RNA-seq Data via Graph Convolutional Network A Vasighizaker, S Hora, L Rueda Intelligent Systems for Molecular Biology (ISMB), 2022 | | 2022 |
| SEGCECO: Subgraph Embedding of Gene expression matrix for CEll cell COmmunication prediction S Hora, A Vasighizaker, L Rueda Research in Computational Molecular Biology (RECOMB), 2022 | | 2022 |
| Supervised Cell Type Heterogeneity Detection in Single-cell RNA-seq Data A Vasighizaker, S Hora, Y Trivedi, L Rueda International Work-Conference on Bioinformatics and Biomedical Engineering …, 2022 | | 2022 |
| Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm M Naik, L Rueda, A Vasighizaker IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021 | | 2021 |
| Disease Gene Identification and Prioritization using Machine Learning Algorithms A Vasighizaker National Conference on Computer and Information Technology, Tabriz, Iran, 2014 | | 2014 |
Luis RuedaProfessor, School of Computer Science, University of WindsorVerified email at uwindsor.ca
