Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning. - Sarwan Ali; Babatunde Bello; Murray Patterson (CoRR, 2021)

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 (CoRR, 2022)

Counterfactually Guided Policy Transfer in Clinical Settings. - Sarwan Ali; Babatunde Bello; Prakash Chourasia; Ria Thazhe Punathil; Pin-Yu Chen; Imdadullah Khan; Murray Patterson (CHIL, 2023)

Virus2Vec: Viral Sequence Classification Using Machine Learning. - Sarwan Ali; Babatunde Bello; Prakash Chourasia; Ria Thazhe Punathil; Pin-Yu Chen; Imdad Ullah Khan; Murray Patterson (CoRR, 2023)

Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location. - Sarwan Ali; Babatunde Bello; Zahra Tayebi; Murray Patterson (J. Comput. Biol., 2023)

ViralVectors: compact and scalable alignment-free virome feature generation. - Sarwan Ali; Prakash Chourasia; Zahra Tayebi; Babatunde Bello; Murray Patterson (Medical Biol. Eng. Comput., 2023)