| PWM2Vec: An efficient embedding approach for viral host specification from coronavirus spike sequences S Ali, B Bello, P Chourasia, RT Punathil, Y Zhou, M Patterson MDPI Biology 11 (3), 418, 2022 | 60 | 2022 |
| Reads2vec: Efficient embedding of raw high-throughput sequencing reads data P Chourasia, S Ali, S Ciccolella, GD Vedova, M Patterson Journal of Computational Biology 30 (4), 469-491, 2023 | 12 | 2023 |
| Spike2signal: Classifying coronavirus spike sequences with deep learning S Ali, T Murad, P Chourasia, M Patterson 2022 IEEE Eighth International Conference on Big Data Computing Service and …, 2022 | 12 | 2022 |
| Clustering sars-cov-2 variants from raw high-throughput sequencing reads data P Chourasia, S Ali, S Ciccolella, G Della Vedova, M Patterson International Conference on Computational Advances in Bio and Medical …, 2021 | 12 | 2021 |
| Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences P Chourasia, S Ali, M Patterson 2022 IEEE International Conference on Big Data (Big Data), 101-106, 2022 | 10 | 2022 |
| Hashing2vec: Fast embedding generation for sars-cov-2 spike sequence classification M Taslim, C Prakash, A Sarwan, P Murray Asian Conference on Machine Learning (ACML), 754-769, 2023 | 8 | 2023 |
| 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 |
| Virus2Vec: Viral Sequence Classification Using Machine Learning S Ali, B Bello, P Chourasia, RT Punathil, PY Chen, IU Khan, M Patterson Conference on. Health, Inference, and Learning (CHIL) 2023, 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, 2023 | 6 | 2023 |
| When Protein Structure Embedding Meets Large Language Models S Ali, P Chourasia, M Patterson Genes 15 (1), 25, 2023 | 5 | 2023 |
| Anderson Acceleration For Bioinformatics-Based Machine Learning S Ali, P Chourasia, M Patterson Knowledge Discovery in Healthcare Data (KDH) 2023, 2023 | 4 | 2023 |
| Elliptic geometry-based kernel matrix for improved biological sequence classification S Ali, M Shabbir, H Mansoor, P Chourasia, M Patterson Knowledge-Based Systems 304, 112479, 2024 | 3 | 2024 |
| Dance: Deep learning-assisted analysis of protein sequences using chaos enhanced kaleidoscopic images T Murad, P Chourasia, S Ali, M Patterson arXiv preprint arXiv:2409.06694, 2024 | 3 | 2024 |
| Gaussian beltrami-klein model for protein sequence classification: A hyperbolic approach S Ali, H Mansoor, P Chourasia, Y Ali, M Patterson International Symposium on Bioinformatics Research and Applications, 52-62, 2024 | 3 | 2024 |
| Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection P Chourasia, T Murad, S Ali, M Patterson International Symposium on Bioinformatics Research and Applications (ISBRA …, 2023 | 3 | 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 |
| Position specific scoring is all you need? revisiting protein sequence classification tasks S Ali, T Murad, P Chourasia, H Mansoor, IU Khan, PY Chen, M Patterson arXiv preprint arXiv:2410.12655, 2024 | 2 | 2024 |
| Nearest neighbor ccp-based molecular sequence analysis S Ali, P Chourasia, B Koirala, M Patterson arXiv preprint arXiv:2409.04922, 2024 | 2 | 2024 |
| Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting S Ali, P Chourasia, M Patterson Accepted at SimBig 2023, 2024 | 2 | 2024 |
| A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis S Ali, TE Ali, P Chourasia, M Patterson PAKDD 2024, 2024 | 2 | 2024 |
Sarwan AliPh.D. Student, Georgia State University確認したメール アドレス: student.gsu.edu