Abdul Wahid

MetaResNet: Enhancing Microbiome-Based Disease Classification through Colormap Optimization and Imbalance Handling

This paper develops MetaResNet, a CNN for microbiome disease classification, showing that colormap choice and SMOTE improve performance, especially for imbalanced datasets.

DynaBiomeX: An Interpretable Dual-Strategy Deep Learning Framework for Architectural Noise Filtration in Sparse Longitudinal Microbiome Data

DynaBiomeX filters noise in sparse longitudinal microbiome data using a dual-strategy deep learning framework, achieving high sensitivity and zero false positives in detecting gut dysbiosis.