Robust representation and efficient feature selection allows for effective clustering of sars-cov-2 variants Z Tayebi, S Ali, M Patterson Algorithms 14 (12), 348, 2021 | 30 | 2021 |
Efficient classification of sars-cov-2 spike sequences using federated learning P Chourasia, T Murad, Z Tayebi, S Ali, IU Khan, M Patterson Annual International Conference on Information Management and Big Data, 80-96, 2023 | 6 | 2023 |
ViralVectors: compact and scalable alignment-free virome feature generation S Ali, P Chourasia, Z Tayebi, B Bello, M Patterson Medical & Biological Engineering & Computing 61 (10), 2607-2626, 2023 | 6 | 2023 |
Empowering pandemic response with federated learning for protein sequence data analysis P Chourasia, Z Tayebi, S Ali, M Patterson 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | 3 | 2023 |
Characterizing sars-cov-2 spike sequences based on geographical location S Ali, B Bello, Z Tayebi, M Patterson Journal of Computational Biology 30 (4), 432-445, 2023 | 3 | 2023 |
PseAAC2Vec protein encoding for TCR protein sequence classification Z Tayebi, S Ali, T Murad, I Khan, M Patterson Computers in Biology and Medicine 170, 107956, 2024 | 2 | 2024 |
Simulating Tumor Evolution from scDNA-Seq as an Accumulation of both SNVs and CNAs Z Tayebi, A Juyal, A Zelikovsky, M Patterson International Symposium on Bioinformatics Research and Applications, 530-540, 2023 | 1 | 2023 |
TCellR2Vec: efficient feature selection for TCR sequences for cancer classification Z Tayebi, S Ali, M Patterson PeerJ Computer Science 10, e2239, 2024 | | 2024 |
Clustering, Classification, and Simulation of Evolutionarily Related Sequences in the Context of Cancer and Viral Spread Z Tayebi | | 2024 |
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification Z Tayebi, S Ali, P Chourasia, T Murad, M Patterson International Conference on Neural Information Processing, 215-227, 2023 | | 2023 |