1 citations · 2 across the 9 of their papers we have counts for
11 papers
Multi-Scale Reversible Chaos Game Representation: A Unified Framework for Sequence Classification
Sarwan Ali, Taslim Murad
Biological classification with interpretability remains a challenging task. For this, we introduce a novel encoding framework, Multi-Scale Reversible Chaos Game Representation (MS-…
Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation
Sarwan Ali, Taslim Murad, Imdadullah Khan
Traditional feature engineering approaches for molecular sequence classification suffer from sparsity issues and computational complexity, while deep learning models often underper…
When do cheap embeddings beat protein language models? A theoretically-grounded hashing sketch for biological sequence classification
Sarwan Ali, Taslim Murad, Imdadullah Khan +1
\textbf{Motivation:} Pre-trained protein language models (PLMs) such as ESM-2 have become the default representation for biological sequence tasks, but they are computationally hea…
Sequence Analysis Using the Bezier Curve
Taslim Murad, Sarwan Ali, Murray Patterson
The analysis of sequences (e.g., protein, DNA, and SMILES string) is essential for disease diagnosis, biomaterial engineering, genetic engineering, and drug discovery domains. Conv…
Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
Taslim Murad, Prakash Chourasia, Sarwan Ali +2
The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-COVID has reached exponentially to an enormous magnitude, opening research doors to…
Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks
Sarwan Ali, Taslim Murad, Prakash Chourasia +4
Understanding the structural and functional characteristics of proteins are crucial for developing preventative and curative strategies that impact fields from drug discovery to po…
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
Taslim Murad, Prakash Chourasia, Sarwan Ali +2
Cancer is a complex disease characterized by uncontrolled cell growth. T cell receptors (TCRs), crucial proteins in the immune system, play a key role in recognizing antigens, incl…
PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification
Sarwan Ali, Taslim Murad, Murray Patterson
Coronaviruses are membrane-enveloped, non-segmented positive-strand RNA viruses belonging to the Coronaviridae family. Various animal species, mainly mammalian and avian, are sever…
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
Zahra Tayebi, Sarwan Ali, Prakash Chourasia +2
Cancer is a complex disease characterized by uncontrolled cell growth and proliferation. T cell receptors (TCRs) are essential proteins for the adaptive immune system, and their sp…
Exploring The Potential Of GANs In Biological Sequence Analysis
Taslim Murad, Sarwan Ali, Murray Patterson
Biological sequence analysis is an essential step toward building a deeper understanding of the underlying functions, structures, and behaviors of the sequences. It can help in ide…
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
Prakash Chourasia, Taslim Murad, Zahra Tayebi +3
This paper presents a federated learning (FL) approach to train an AI model for SARS-Cov-2 variant classification. We analyze the SARS-CoV-2 spike sequences in a distributed way, w…