39 citations · 180 across the 23 of their papers we have counts for
5 papers · 1 filter
Sequence-Based Nanobody-Antigen Binding Prediction
Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub +4
Nanobodies (Nb) are monomeric heavy-chain fragments derived from heavy-chain only antibodies naturally found in Camelids and Sharks. Their considerably small size (~3-4 nm; 13 kDa)…
Robust Brain Age Estimation via Regression Models and MRI-derived Features
Mansoor Ahmed, Usama Sardar, Sarwan Ali +3
The determination of biological brain age is a crucial biomarker in the assessment of neurological disorders and understanding of the morphological changes that occur during aging.…
Virus2Vec: Viral Sequence Classification Using Machine Learning
Sarwan Ali, Babatunde Bello, Prakash Chourasia +4
Understanding the host-specificity of different families of viruses sheds light on the origin of, e.g., SARS-CoV-2, rabies, and other such zoonotic pathogens in humans. It enables…
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
Sarwan Ali, Usama Sardar, Murray Patterson +1
Representation learning is an important step in the machine learning pipeline. Given the current biological sequencing data volume, learning an explicit representation is prohibiti…
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…