Sarwan Ali

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Respiratory Syndrome Coronavirus

Machine Learning

Top Venues

Medical & biological engineering & computing

This page only lists publications with an associated author ORCID identifier.

Publications

Sarwan Ali, Prakash Chourasia, Murray Patterson
From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical & biological engineering & computing (2024)
Sarwan Ali, Prakash Chourasia, Murray Patterson
From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical & biological engineering & computing 62 (8) (2024)
Bikram Sahoo, Sarwan Ali, Pin-Yu Chen, Murray D Patterson, Alexander Zelikovsky
Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors. Biomolecules 13 (6) (2023)
Bikram Sahoo, Sarwan Ali, Pin-Yu Chen, Murray D Patterson, Alexander Zelikovsky
Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors. Biomolecules 13 (6) (2023)
Sarwan Ali, Prakash Chourasia, Murray D Patterson
When Protein Structure Embedding Meets Large Language Models. Genes 15 (1) (2023)
Taslim Murad, Sarwan Ali, Murray D Patterson
Exploring the Potential of GANs in Biological Sequence Analysis. Biology 12 (6) (2023)
Taslim Murad, Sarwan Ali, Murray D Patterson
Exploring the Potential of GANs in Biological Sequence Analysis. Biology 12 (6) (2023)
Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson
ViralVectors: compact and scalable alignment-free virome feature generation. Medical & biological engineering & computing (2023)
Sarwan Ali, Prakash Chourasia, Murray D Patterson
When Protein Structure Embedding Meets Large Language Models. Genes 15 (1) (2023)
Sarwan Ali, Prakash Chourasia, Murray D Patterson
When Protein Structure Embedding Meets Large Language Models. Genes 15 (1) (2023)
Sarwan Ali, Prakash Chourasia, Murray D Patterson
When Protein Structure Embedding Meets Large Language Models. Genes 15 (1) (2023)
Bikram Sahoo, Sarwan Ali, Pin-Yu Chen, Murray D Patterson, Alexander Zelikovsky
Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors. Biomolecules 13 (6) (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray D Patterson
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. Biology 11 (3) (2022)
Sarwan Ali, Yijing Zhou, Murray Patterson
Efficient analysis of COVID-19 clinical data using machine learning models. Medical & biological engineering & computing 60 (7) (2022)