5 papers · 1 filter
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…
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…