Publications by authors named "Murray Patterson"

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20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024).
Zhipeng Cai, Wei Peng, Murray Patterson

J Comput Biol· October 2025

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Nearest Neighbor CCP-Based Molecular Sequence Analysis.
Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson

IEEE Trans Comput Biol Bioinform· October 2025

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20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024).
Zhipeng Cai, Wei Peng, Murray Patterson

J Comput Biol· September 2025

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12th International Computational Advances in Bio and Medical Sciences (ICCABS 2023).
Mukul S Bansal, Wei Chen, Yury Khudyakov, Ion I Măndoiu, Marmar R Moussa, Murray Patterson

J Comput Biol· August 2025

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19th International Symposium on Bioinformatics Research and Applications (ISBRA 2023).
Murray Patterson

J Comput Biol· February 2025

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

PeerJ Comput Sci· November 2024

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From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets.
Sarwan Ali, Prakash Chourasia, Murray Patterson

Med Biol Eng Comput· August 2024

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19th International Symposium on Bioinformatics Research and Applications (ISBRA 2023).
Murray Patterson

J Comput Biol· June 2024

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PseAAC2Vec protein encoding for TCR protein sequence classification.
Zahra Tayebi, Sarwan Ali, Taslim Murad, Imdadullah Khan, Murray Patterson

Comput Biol Med· March 2024

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Efficient Approximate Kernel Based Spike Sequence Classification.
Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan, Alexander Zelikovsky, Imdad Ullah Khan, Murray Patterson

IEEE/ACM Trans Comput Biol Bioinform· December 2023

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When Protein Structure Embedding Meets Large Language Models.
Sarwan Ali, Prakash Chourasia, Murray Patterson

Genes (Basel)· December 2023

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ViralVectors: compact and scalable alignment-free virome feature generation.
Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson

Med Biol Eng Comput· October 2023

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

Biomolecules· June 2023

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

Biology (Basel)· June 2023

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Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location.
Sarwan Ali, Babatunde Bello, Zahra Tayebi, Murray Patterson

J Comput Biol· April 2023

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Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data.
Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

J Comput Biol· April 2023

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Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021).
Mukul S Bansal, Ion I Măndoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran

J Comput Biol· April 2023

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

Sci Rep· March 2023

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Determining Significant Correlation Between Pairs of Extant Characters in a Small Parsimony Framework.
Kaustubh Khandai, Cristian Navarro-Martinez, Brendan Smith, Rebecca Buonopane, Soyong Ashley Byun, Murray Patterson

J Comput Biol· October 2022

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Efficient analysis of COVID-19 clinical data using machine learning models.
Sarwan Ali, Yijing Zhou, Murray Patterson

Med Biol Eng Comput· July 2022

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

Biology (Basel)· March 2022

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Effective Clustering for Single Cell Sequencing Cancer Data.
Simone Ciccolella, Murray Patterson, Paola Bonizzoni, Gianluca Della Vedova

IEEE J Biomed Health Inform· November 2021

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From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering.
Andrew Melnyk, Fatemeh Mohebbi, Sergey Knyazev, Bikram Sahoo, Roya Hosseini, Murray Patterson

J Comput Biol· November 2021

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Simpler and Faster Development of Tumor Phylogeny Pipelines.
Sarwan Ali, Simone Ciccolella, Lorenzo Lucarella, Gianluca Della Vedova, Murray Patterson

J Comput Biol· November 2021

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gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data.
Simone Ciccolella, Mauricio Soto Gomez, Murray D Patterson, Gianluca Della Vedova, Iman Hajirasouliha

BMC Bioinformatics· December 2020

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