檢索結果 - Murray Patterson

Improving ISOMAP Efficiency with RKS: A Comparative Study with t-Distributed Stochastic Neighbor Embedding on Protein Sequences 由 Sarwan Ali, Murray Patterson

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Exploring the Potential of GANs in Biological Sequence Analysis 由 Taslim Murad, Sarwan Ali, Murray Patterson

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Solvent Accessibility of Coronaviridae Spike Proteins through the Lens of Information Gain 由 Sarwan Ali, Babatunde Bello, Murray Patterson

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TCellR2Vec: efficient feature selection for TCR sequences for cancer classification 由 Zahra Tayebi, Sarwan Ali, Murray Patterson

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Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants 由 Zahra Tayebi, Sarwan Ali, Murray Patterson

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A Spatial Alignment Problem 由 Armin R. Mikler, Chetan Tiwari, Murray Patterson

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Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors 由 Bikram Sahoo, Sarwan Ali, Pin-Yu Chen, Murray Patterson, Alexander Zelikovsky

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Benchmarking machine learning robustness in Covid-19 genome sequence classification 由 Sarwan Ali, Bikram Sahoo, Alexander Zelikovsky, Pin-Yu Chen, Murray Patterson

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PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences 由 Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson

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