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ORCIDZahra Tayebi
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2020 – today
- 2024
[j5]Zahra Tayebi, Sarwan Ali
, Taslim Murad, Imdadullah Khan, Murray Patterson:
PseAAC2Vec protein encoding for TCR protein sequence classification. Comput. Biol. Medicine 170: 107956 (2024)- [j4]Zahra Tayebi, Sarwan Ali, Murray Patterson:
TCellR2Vec: efficient feature selection for TCR sequences for cancer classification. PeerJ Comput. Sci. 10: e2239 (2024) - 2023
- [j3]Sarwan Ali, Babatunde Bello, Zahra Tayebi, Murray Patterson:
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location. J. Comput. Biol. 30(4): 432-445 (2023) - [j2]Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson:
ViralVectors: compact and scalable alignment-free virome feature generation. Medical Biol. Eng. Comput. 61(10): 2607-2626 (2023) - [c3]Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson:
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. ICONIP (10) 2023: 215-227 - [c2]Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson:
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. IJCNN 2023: 1-8 - [c1]Zahra Tayebi, Akshay Juyal, Alexander Zelikovsky, Murray Patterson:
Simulating Tumor Evolution from scDNA-Seq as an Accumulation of both SNVs and CNAs. ISBRA 2023: 530-540 - [i4]Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan, Murray Patterson:
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR abs/2302.08688 (2023) - [i3]Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson:
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation. CoRR abs/2304.02891 (2023) - [i2]Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson:
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. CoRR abs/2304.13145 (2023) - 2021
- [j1]Zahra Tayebi, Sarwan Ali, Murray Patterson:
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. Algorithms 14(12): 348 (2021) - [i1]Zahra Tayebi, Sarwan Ali, Murray Patterson:
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. CoRR abs/2110.09622 (2021)
Coauthor Index
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