Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. - Prakash Chourasia; Sarwan Ali; Simone Ciccolella; Gianluca Della Vedova; Murray Patterson (ICCABS, 2021)

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (ACML, 2022)

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. - Prakash Chourasia; Sarwan Ali; Murray Patterson (IEEE Big Data, 2022)

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Murray Patterson (BigDataService, 2022)

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)

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. - Taslim Murad; Sarwan Ali; Prakash Chourasia; Haris Mansoor; Murray Patterson (IEEE Big Data, 2023)

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)

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. - Sarwan Ali; Prakash Chourasia; Murray Patterson (Tiny Papers @ ICLR, 2023)

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. - Zahra Tayebi; Sarwan Ali; Prakash Chourasia; Taslim Murad; Murray Patterson (ICONIP (10), 2023)

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. - Prakash Chourasia; Zahra Tayebi; Sarwan Ali; Murray Patterson (IJCNN, 2023)

PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. - Sarwan Ali; Prakash Chourasia; Murray Patterson (ISBRA, 2023)

Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Murray Patterson (ISBRA, 2023)

Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. - Prakash Chourasia; Taslim Murad; Sarwan Ali; Murray Patterson (ISBRA, 2023)

Anderson Acceleration for Bioinformatics-Based Machine Learning. - Sarwan Ali; Prakash Chourasia; Murray Patterson (KDH@IJCAI, 2023)

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. - Prakash Chourasia; Taslim Murad; Zahra Tayebi; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 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)

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

Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Yasir Ali; Murray Patterson (ISBRA (1), 2024)

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering. - Sarwan Ali; Prakash Chourasia; Haris Mansoor; Bipin Koirala; Murray Patterson (ML4H@NeurIPS, 2024)

A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. - Sarwan Ali; Tamkanat E. Ali; Prakash Chourasia; Murray Patterson (PKDD (4), 2024)

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. - Sarwan Ali; Prakash Chourasia; Murray Patterson (CoRR, 2024)

Nearest Neighbor CCP-Based Molecular Sequence Analysis. - Sarwan Ali; Prakash Chourasia; Bipin Koirala; Murray Patterson (CoRR, 2024)

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (CoRR, 2024)

EPIC: Enhancing Privacy through Iterative Collaboration. - Prakash Chourasia; Heramb Lonkar; Sarwan Ali; Murray Patterson (CoRR, 2024)

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging. - Prakash Chourasia; Tamkanat E. Ali; Sarwan Ali; Murray Patterson (CoRR, 2024)

Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Imdad Ullah Khan; Murray Patterson (CoRR, 2024)

Elliptic geometry-based kernel matrix for improved biological sequence classification. - Sarwan Ali; Madiha Shabbir; Haris Mansoor; Prakash Chourasia; Murray Patterson (Knowl. Based Syst., 2024)

From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. - Sarwan Ali; Prakash Chourasia; Murray Patterson (Medical Biol. Eng. Comput., 2024)

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Haris Mansoor; Imdad Ullah Khan; Pin-Yu Chen; Murray Patterson (RECOMB-CG, 2025)

Hist2Vec: A histogram and kernel-based embedding method for molecular sequence analysis. - Sarwan Ali; Tamkanat E. Ali; Haris Mansoor; Prakash Chourasia; Murray Patterson (Expert Syst. Appl., 2025)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2025)