Md Zakir Hossain

This paper develops three machine learning models to predict gut microbiome composition in fruit flies using metagenomic data, with the best model achieving a mean Coefficient of Variance of 1.25.

This paper introduces EGGN, an exemplar guided graph neural network for predicting gene expression from spatial transcriptomics tissue slide images, showing superior performance on benchmark datasets.